Deck 10: Statistical Inference Concerning Two Populations

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Question
When comparing two population means,their hypothesized difference ____________.

A)Must be negative
B)Must be positive
C)Must be zero
D)May assume any value
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Question
The difference between the two sample means The difference between the two sample means   is an interval estimator of the difference between two population means   .<div style=padding-top: 35px> is an interval estimator of the difference between two population means The difference between the two sample means   is an interval estimator of the difference between two population means   .<div style=padding-top: 35px> .
Question
We always deal with matched-pairs sampling if two samples have the same number of observations.
Question
We convert the estimate We convert the estimate   into the corresponding value of the z or t test statistic by dividing the difference between   and the hypothesized difference   by the standard error of the estimator   .<div style=padding-top: 35px> into the corresponding value of the z or t test statistic by dividing the difference between We convert the estimate   into the corresponding value of the z or t test statistic by dividing the difference between   and the hypothesized difference   by the standard error of the estimator   .<div style=padding-top: 35px> and the hypothesized difference We convert the estimate   into the corresponding value of the z or t test statistic by dividing the difference between   and the hypothesized difference   by the standard error of the estimator   .<div style=padding-top: 35px> by the standard error of the estimator We convert the estimate   into the corresponding value of the z or t test statistic by dividing the difference between   and the hypothesized difference   by the standard error of the estimator   .<div style=padding-top: 35px> .
Question
In the case when In the case when   and   are unknown and can be assumed equal,we can calculate a pooled estimate of the population variance.<div style=padding-top: 35px> and In the case when   and   are unknown and can be assumed equal,we can calculate a pooled estimate of the population variance.<div style=padding-top: 35px> are unknown and can be assumed equal,we can calculate a pooled estimate of the population variance.
Question
The necessary condition for a matched-pairs sample is that the same individual gets sampled twice.
Question
If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.

A) <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
The choice of an appropriate test for comparing two population means depends on whether we deal with ____________.

A)Qualitative or quantitative data
B)Independent or matched-pairs sampling
C)The equality or lack of equality of population variances
D)All of the above
Question
The margin of error in the confidence interval for the difference The margin of error in the confidence interval for the difference   equals the standard error   multiplied by either   or   ,depending on whether or not the population variances are known.<div style=padding-top: 35px> equals the standard error The margin of error in the confidence interval for the difference   equals the standard error   multiplied by either   or   ,depending on whether or not the population variances are known.<div style=padding-top: 35px> multiplied by either The margin of error in the confidence interval for the difference   equals the standard error   multiplied by either   or   ,depending on whether or not the population variances are known.<div style=padding-top: 35px> or The margin of error in the confidence interval for the difference   equals the standard error   multiplied by either   or   ,depending on whether or not the population variances are known.<div style=padding-top: 35px> ,depending on whether or not the population variances are known.
Question
What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?

A) <strong>What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
When calculating the standard error of <strong>When calculating the standard error of   ,under what assumption do you pool the sample variances   and   ?</strong> A)Known population variances B)Unknown population variances that are assumed equal C)Unknown population variances that are assumed unequal D)All of the above <div style=padding-top: 35px> ,under what assumption do you pool the sample variances <strong>When calculating the standard error of   ,under what assumption do you pool the sample variances   and   ?</strong> A)Known population variances B)Unknown population variances that are assumed equal C)Unknown population variances that are assumed unequal D)All of the above <div style=padding-top: 35px> and <strong>When calculating the standard error of   ,under what assumption do you pool the sample variances   and   ?</strong> A)Known population variances B)Unknown population variances that are assumed equal C)Unknown population variances that are assumed unequal D)All of the above <div style=padding-top: 35px> ?

A)Known population variances
B)Unknown population variances that are assumed equal
C)Unknown population variances that are assumed unequal
D)All of the above
Question
The confidence interval for the difference The confidence interval for the difference   is based on the same approach used in the case of one sample: Point Estimate ± Standard Error.<div style=padding-top: 35px> is based on the same approach used in the case of one sample: Point Estimate ± Standard Error.
Question
Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?

A) <strong>Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Two or more random samples are considered independent if ____________.

A)The process that generates one sample is the same as the process that generates the other sample
B)The process that generates one sample partially overlaps the process that generates the other sample
C)The process that generates one sample completely overlaps the process that generates the other sample
D)The process that generates one sample is completely separate from the process that generates the other sample
Question
Which of the following is not a restriction for comparing two population means?

A)A normally distributed sampling distribution of <strong>Which of the following is not a restriction for comparing two population means?</strong> A)A normally distributed sampling distribution of   B)The equality of the sample sizes C)Both A and B D)Neither A or B <div style=padding-top: 35px>
B)The equality of the sample sizes
C)Both A and B
D)Neither A or B
Question
Suppose you want to perform a test to compare the mean GPA of all freshmen with the mean GPA of all sophomores in a college? What type of sampling is required for this test?

A)Independent sampling with qualitative data
B)Independent sampling with quantitative data
C)Matched-pairs sampling with qualitative data
D)Matched-pairs sampling with quantitative data
Question
A demographer wants to measure life expectancy in countries 1 and 2.Let <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> and <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.

A) <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
For a statistical inference regarding For a statistical inference regarding   ,it is imperative that the sampling distribution of   is normally distributed.<div style=padding-top: 35px> ,it is imperative that the sampling distribution of For a statistical inference regarding   ,it is imperative that the sampling distribution of   is normally distributed.<div style=padding-top: 35px> is normally distributed.
Question
If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if the sum of the sample observations is sufficiently large-that is,when   .<div style=padding-top: 35px> is approximately normal only if the sum of the sample observations is sufficiently large-that is,when If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if the sum of the sample observations is sufficiently large-that is,when   .<div style=padding-top: 35px> .
Question
Two random samples are considered independent if the observations in the first sample are different from the observations of the second sample.
Question
In the test for comparing two population means when population variances are unknown and unequal,a student calculates the degrees of freedom using the proper formula as 34.7.How many degrees of freedom should the student assume to find the p-value of the test?

A)34
B)34.7
C)35
D)None of the Above
Question
What type of data is required to compare prices of the same textbooks sold by two different vendors?

A)Dependent random samples with qualitative data
B)Dependent random samples with quantitative data
C)Independent random samples with qualitative data
D)Independent random samples with quantitative data
Question
When testing the difference between two population means under independent sampling,we use the z distribution if ____________.

A)The population variances are known
B)The population variances are unknown,but assumed to be equal
C)The population variances are unknown and cannot be assumed equal
D)Both A and B
Question
Assume the competing hypotheses take the following form: <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> versus <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> ,where <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> is the population mean for population 1 and <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.

A) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
If the sampling distribution of <strong>If the sampling distribution of   cannot be assumed normal,we _____________.</strong> A)Are unable to compute a confidence interval B)Are still able to use the z distribution to compute a confidence interval C)Must use the t distribution with   degrees of freedom to compute a confidence interval D)Must use the t distribution and calculate the degrees of freedom using <div style=padding-top: 35px> cannot be assumed normal,we _____________.

A)Are unable to compute a confidence interval
B)Are still able to use the z distribution to compute a confidence interval
C)Must use the t distribution with <strong>If the sampling distribution of   cannot be assumed normal,we _____________.</strong> A)Are unable to compute a confidence interval B)Are still able to use the z distribution to compute a confidence interval C)Must use the t distribution with   degrees of freedom to compute a confidence interval D)Must use the t distribution and calculate the degrees of freedom using <div style=padding-top: 35px> degrees of freedom to compute a confidence interval
D)Must use the t distribution and calculate the degrees of freedom using
Question
A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> and <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.

A) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
What type of data should be collected when examining a situation in which two candidates running in different elections are being compared in their likelihood of winning their elections?

A)Matched-pairs sampling with qualitative data
B)Matched-pairs sampling with quantitative data
C)Independent sampling with qualitative data
D)Independent sampling with quantitative data
Question
A particular personal trainer works primarily with track and field athletes.She believes that her clients run faster after going through her program for six weeks.How might she test that claim?

A)A hypothesis test for <strong>A particular personal trainer works primarily with track and field athletes.She believes that her clients run faster after going through her program for six weeks.How might she test that claim?</strong> A)A hypothesis test for   . B)A hypothesis test for   . C)A matched pairs hypothesis test for μ<sub>D</sub>. D)We are unable to conduct a hypothesis test since the samples would not be independent. <div style=padding-top: 35px> .
B)A hypothesis test for <strong>A particular personal trainer works primarily with track and field athletes.She believes that her clients run faster after going through her program for six weeks.How might she test that claim?</strong> A)A hypothesis test for   . B)A hypothesis test for   . C)A matched pairs hypothesis test for μ<sub>D</sub>. D)We are unable to conduct a hypothesis test since the samples would not be independent. <div style=padding-top: 35px> .
C)A matched pairs hypothesis test for μD.
D)We are unable to conduct a hypothesis test since the samples would not be independent.
Question
Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the appropriate p-value.</strong> A)0.0592 B)0.0847 C)0.0896 D)0.1184 <div style=padding-top: 35px> and <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the appropriate p-value.</strong> A)0.0592 B)0.0847 C)0.0896 D)0.1184 <div style=padding-top: 35px> represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the appropriate p-value.

A)0.0592
B)0.0847
C)0.0896
D)0.1184
Question
A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?

A)A hypothesis test for <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?</strong> A)A hypothesis test for   . B)A hypothesis test for   . C)A matched-pairs hypothesis test. D)We are unable to conduct a hypothesis test since independent random samples of each group could not be collected. <div style=padding-top: 35px> .
B)A hypothesis test for <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?</strong> A)A hypothesis test for   . B)A hypothesis test for   . C)A matched-pairs hypothesis test. D)We are unable to conduct a hypothesis test since independent random samples of each group could not be collected. <div style=padding-top: 35px> .
C)A matched-pairs hypothesis test.
D)We are unable to conduct a hypothesis test since independent random samples of each group could not be collected.
Question
Exhibit 10.2.Calcium is an essential nutrient for strong bones and for controlling blood pressure and heart beat.Since most of the body's calcium is stored in bones and teeth,the body withdraws the calcium it needs from the bones.Over time,if more calcium is taken out of the bones than is put in,the result may be thin,weak bones.This is especially important for women who are often recommended a calcium supplement.A consumer group activist assumes that calcium content in two popular supplements are normally distributed with the same unknown population variance,and uses the following information obtained under independent sampling: <strong>Exhibit 10.2.Calcium is an essential nutrient for strong bones and for controlling blood pressure and heart beat.Since most of the body's calcium is stored in bones and teeth,the body withdraws the calcium it needs from the bones.Over time,if more calcium is taken out of the bones than is put in,the result may be thin,weak bones.This is especially important for women who are often recommended a calcium supplement.A consumer group activist assumes that calcium content in two popular supplements are normally distributed with the same unknown population variance,and uses the following information obtained under independent sampling:   Let μ<sub>1</sub> and μ<sub>2</sub> denote the corresponding population means. Refer to Exhibit 10.2.Construct a 95% confidence interval for the difference μ<sub>1</sub> - μ<sub>2</sub>.</strong> A)[-30.9386,1.0614] B)[-31.5886,-0.4114] C)[-33.8007,1.8007] D)[-34.8012,2.8012] <div style=padding-top: 35px> Let μ1 and μ2 denote the corresponding population means. Refer to Exhibit 10.2.Construct a 95% confidence interval for the difference μ1 - μ2.

A)[-30.9386,1.0614]
B)[-31.5886,-0.4114]
C)[-33.8007,1.8007]
D)[-34.8012,2.8012]
Question
Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?

A) <strong>Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Assume the competing hypotheses take the following form: <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> versus <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> ,where <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> is the population mean for population 1 and <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.

A) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
What type of test for population means should be performed when examining a situation in which employees are first tested,then trained,and finally retested?

A)A z test under independent sampling with known population variances
B)A t test under independent sampling with unknown but equal population variances
C)A t test under dependent sampling
D)A t test under independent sampling with unknown and unequal population variances
Question
When the hypothesized difference of the population proportions is equal to 0,we ____________.

A)Use a matched-pairs approach
B)Are able to estimate the standard error of <strong>When the hypothesized difference of the population proportions is equal to 0,we ____________.</strong> A)Use a matched-pairs approach B)Are able to estimate the standard error of   using the pooled   C)Can use the confidence interval to implement the test if the difference of the population proportions is equal to 0 D)Both B and C <div style=padding-top: 35px> using the pooled
<strong>When the hypothesized difference of the population proportions is equal to 0,we ____________.</strong> A)Use a matched-pairs approach B)Are able to estimate the standard error of   using the pooled   C)Can use the confidence interval to implement the test if the difference of the population proportions is equal to 0 D)Both B and C <div style=padding-top: 35px>
C)Can use the confidence interval to implement the test if the difference of the population proportions is equal to 0
D)Both B and C
Question
Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> and <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.

A) <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.

A) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:

A)In every case.
B)Only if <strong>It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:</strong> A)In every case. B)Only if   and   . C)Only if   and   . D)Only if <div style=padding-top: 35px> and
<strong>It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:</strong> A)In every case. B)Only if   and   . C)Only if   and   . D)Only if <div style=padding-top: 35px> .
C)Only if <strong>It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:</strong> A)In every case. B)Only if   and   . C)Only if   and   . D)Only if <div style=padding-top: 35px> and
<strong>It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:</strong> A)In every case. B)Only if   and   . C)Only if   and   . D)Only if <div style=padding-top: 35px> .
D)Only if
Question
You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.

A) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Assume the competing hypotheses take the following form: <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> versus <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> ,where <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> is the population mean for population 1 and <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.

A) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.6.A university wants to compare out-of-state applicants' mean SAT math scores (μ1)to instate applicants' mean SAT math scores (μ2).The university looks at 35 instate applicants and 35 out-of-state applicants.The mean SAT math score for instate applicants was 540,with a standard deviation of 20.The mean SAT math score for out-of-state applicants was 555,with a standard deviation of 25.It is reasonable to assume the corresponding population standard deviations are equal. Refer to Exhibit 10.6.At the 5% significance level,can the university conclude that the mean SAT math score for instate students and out-of-state students differ?

A)No,because the confidence interval contains zero.
B)Yes,because the confidence interval contains zero.
C)No,because the confidence interval does not contain zero.
D)Yes,because the confidence interval does not contain zero.
Question
Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)   <div style=padding-top: 35px> as the mean of the differences calculated as pre-test score minus post-test score. <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)   <div style=padding-top: 35px> Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?

A) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What is the appropriate decision given a 5% level of significance?

A)Conclude that the mean attendance differs since the p-value = 0.0067 < 0.05.
B)Conclude that the mean attendance differs since the p-value = 0.0134 < 0.05.
C)Do not conclude that the mean attendance differs since the p-value = 0.0067 < 0.05.
D)Do not conclude that the mean attendance differs since the p-value = 0.0134 < 0.05.
Question
Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively. Refer to Exhibit 10.7.At the 1% significance level,does the evidence support the professor's claim?</strong> A)No,since the test statistic is less than the critical value. B)Yes,since the test statistic is less than the critical value. C)No,since the test statistic is greater than the critical value. D)Yes,since the test statistic is greater than the critical value. <div style=padding-top: 35px> and <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively. Refer to Exhibit 10.7.At the 1% significance level,does the evidence support the professor's claim?</strong> A)No,since the test statistic is less than the critical value. B)Yes,since the test statistic is less than the critical value. C)No,since the test statistic is greater than the critical value. D)Yes,since the test statistic is greater than the critical value. <div style=padding-top: 35px> represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively. Refer to Exhibit 10.7.At the 1% significance level,does the evidence support the professor's claim?

A)No,since the test statistic is less than the critical value.
B)Yes,since the test statistic is less than the critical value.
C)No,since the test statistic is greater than the critical value.
D)Yes,since the test statistic is greater than the critical value.
Question
Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.

A) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.At the 5% significance level,does the evidence support the manager's claim?</strong> A)No,since the test statistic value is less than the critical value. B)Yes,since the test statistic value is less than the critical value. C)No,since the test statistic value is greater than the critical value. D)Yes,since the test statistic value is greater than the critical value. <div style=padding-top: 35px> and <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.At the 5% significance level,does the evidence support the manager's claim?</strong> A)No,since the test statistic value is less than the critical value. B)Yes,since the test statistic value is less than the critical value. C)No,since the test statistic value is greater than the critical value. D)Yes,since the test statistic value is greater than the critical value. <div style=padding-top: 35px> denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.At the 5% significance level,does the evidence support the manager's claim?

A)No,since the test statistic value is less than the critical value.
B)Yes,since the test statistic value is less than the critical value.
C)No,since the test statistic value is greater than the critical value.
D)Yes,since the test statistic value is greater than the critical value.
Question
Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?

A) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> and <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.

A) <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> and <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.

A) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.2.Calcium is an essential nutrient for strong bones and for controlling blood pressure and heart beat.Since most of the body's calcium is stored in bones and teeth,the body withdraws the calcium it needs from the bones.Over time,if more calcium is taken out of the bones than is put in,the result may be thin,weak bones.This is especially important for women who are often recommended a calcium supplement.A consumer group activist assumes that calcium content in two popular supplements are normally distributed with the same unknown population variance,and uses the following information obtained under independent sampling: <strong>Exhibit 10.2.Calcium is an essential nutrient for strong bones and for controlling blood pressure and heart beat.Since most of the body's calcium is stored in bones and teeth,the body withdraws the calcium it needs from the bones.Over time,if more calcium is taken out of the bones than is put in,the result may be thin,weak bones.This is especially important for women who are often recommended a calcium supplement.A consumer group activist assumes that calcium content in two popular supplements are normally distributed with the same unknown population variance,and uses the following information obtained under independent sampling:   Let μ<sub>1</sub> and μ<sub>2</sub> denote the corresponding population means. Refer to Exhibit 10.2.Can we conclude that the average calcium content of the two supplements differs at the 95% confidence level?</strong> A)No,since the 95% confidence interval contains the hypothesized value of zero. B)Yes,since the 95% confidence interval contains the hypothesized value of zero. C)No,since the 95% confidence interval does not contain the hypothesized value of zero. D)Yes,since the 95% confidence interval does not contain the hypothesized value of zero. <div style=padding-top: 35px> Let μ1 and μ2 denote the corresponding population means. Refer to Exhibit 10.2.Can we conclude that the average calcium content of the two supplements differs at the 95% confidence level?

A)No,since the 95% confidence interval contains the hypothesized value of zero.
B)Yes,since the 95% confidence interval contains the hypothesized value of zero.
C)No,since the 95% confidence interval does not contain the hypothesized value of zero.
D)Yes,since the 95% confidence interval does not contain the hypothesized value of zero.
Question
Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.What is the appropriate critical value(s)to test the professor's claim at the 1% significance level?</strong> A)-2.381 and 2.381 B)-2.326 and 2.326 C)2.326 D)2.381 <div style=padding-top: 35px> and <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.What is the appropriate critical value(s)to test the professor's claim at the 1% significance level?</strong> A)-2.381 and 2.381 B)-2.326 and 2.326 C)2.326 D)2.381 <div style=padding-top: 35px> represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.What is the appropriate critical value(s)to test the professor's claim at the 1% significance level?

A)-2.381 and 2.381
B)-2.326 and 2.326
C)2.326
D)2.381
Question
Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)   <div style=padding-top: 35px> as the mean of the differences calculated as pre-test score minus post-test score. <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)   <div style=padding-top: 35px> Refer to Exhibit 10.8.What is the value of the appropriate test statistic?

A) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.6.A university wants to compare out-of-state applicants' mean SAT math scores (μ1)to instate applicants' mean SAT math scores (μ2).The university looks at 35 instate applicants and 35 out-of-state applicants.The mean SAT math score for instate applicants was 540,with a standard deviation of 20.The mean SAT math score for out-of-state applicants was 555,with a standard deviation of 25.It is reasonable to assume the corresponding population standard deviations are equal. Refer to Exhibit 10.6.To calculate the confidence interval for the difference μ1 - μ2,what is the number of degrees of freedom of the appropriate probability distribution?

A)64
B)64.87
C)68
D)69
Question
Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What is the appropriate decision given a 5% level of significance?

A)Conclude that the average milk chocolate and mint chocolate sales differ since the p-value is greater than 0.05.
B)Conclude that the average milk chocolate and mint chocolate sales do not differ since the p-value is less than 0.05.
C)Do not conclude that the average milk chocolate and mint chocolate sales differ since the p-value is greater than 0.05.
D)Do not conclude that the average milk chocolate and mint chocolate sales do not differ since the p-value is less than 0.05.
Question
Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.What is the appropriate critical value(s)to test the manager's claim at the 5% significance level?</strong> A)1.645 B)1.668 C)1.960 D)1.997 <div style=padding-top: 35px> and <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.What is the appropriate critical value(s)to test the manager's claim at the 5% significance level?</strong> A)1.645 B)1.668 C)1.960 D)1.997 <div style=padding-top: 35px> denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.What is the appropriate critical value(s)to test the manager's claim at the 5% significance level?

A)1.645
B)1.668
C)1.960
D)1.997
Question
Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> as the mean difference in matched-pairs sampling.

A) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.

A) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> and <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.

A) <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)   <div style=padding-top: 35px> and <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)   <div style=padding-top: 35px> represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?

A) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.6.A university wants to compare out-of-state applicants' mean SAT math scores (μ1)to instate applicants' mean SAT math scores (μ2).The university looks at 35 instate applicants and 35 out-of-state applicants.The mean SAT math score for instate applicants was 540,with a standard deviation of 20.The mean SAT math score for out-of-state applicants was 555,with a standard deviation of 25.It is reasonable to assume the corresponding population standard deviations are equal. Refer to Exhibit 10.6.Calculate a 95% confidence interval for the difference μ1 - μ2.

A)[-25.6067,-4.3933]
B)[-25.7961,-4.2039]
C)[-25.8124,-4.1876]
D)[-33.6105,3.6105]
Question
Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)   <div style=padding-top: 35px> denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?

A) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)   <div style=padding-top: 35px> and <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)   <div style=padding-top: 35px> represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively

A) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.

A) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p1 and p2 be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What is the conclusion for the test at <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What is the conclusion for the test at   ?</strong> A)Reject H<sub>0</sub>: p<sub>1</sub> = p<sub>2</sub> and therefore conclude that the proportions differ. B)Reject H<sub>0</sub>: p<sub>1</sub> = p<sub>2</sub> and therefore do not conclude that the proportions differ. C)Do not reject H<sub>0</sub>: p<sub>1</sub> = p<sub>2</sub> and therefore conclude that the proportions differ. D)Do not reject H<sub>0</sub>: p<sub>1</sub> = p<sub>2</sub> and therefore do not conclude that the proportions differ. <div style=padding-top: 35px> ?

A)Reject H0: p1 = p2 and therefore conclude that the proportions differ.
B)Reject H0: p1 = p2 and therefore do not conclude that the proportions differ.
C)Do not reject H0: p1 = p2 and therefore conclude that the proportions differ.
D)Do not reject H0: p1 = p2 and therefore do not conclude that the proportions differ.
Question
Exhibit 10.12.A veterinarian wants to know if pit bulls or golden retrievers have a higher incidence of tooth decay at the age of three.The vet surveys 120 three-year old pit bulls and finds 30 of them have tooth decay.The vet then surveys 160 three-year old golden retrievers and finds 32 of them have tooth decay.Number the population of pit bulls and golden retrievers by 1 and 2,respectively. Refer to Exhibit 10.12.Calculate a 90% confidence interval for the difference in the population proportion of pit bulls and golden retrievers that have tooth decay.Which of the following is correct?

A)[-0.0492,0.1492]
B)[-0.0332,0.1332]
C)[0.0199.0.0801]
D)[0.0428,0.0572]
Question
Exhibit 10.12.A veterinarian wants to know if pit bulls or golden retrievers have a higher incidence of tooth decay at the age of three.The vet surveys 120 three-year old pit bulls and finds 30 of them have tooth decay.The vet then surveys 160 three-year old golden retrievers and finds 32 of them have tooth decay.Number the population of pit bulls and golden retrievers by 1 and 2,respectively. Refer to Exhibit 10.12.At the 10% significance level,can the vet conclude the proportion of pit bulls that have tooth decay is different than the proportion of golden retrievers that have tooth decay?

A)No,because the confidence interval contains zero.
B)Yes,because the confidence interval contains zero.
C)No,because the confidence interval does not contain zero.
D)Yes,because the confidence interval does not contain zero.
Question
Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p1 and p2 be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.Use a 5% level of significance to find the critical value (s)of the appropriate test.

A)1.645
B)1.960
C)-1.645 and +1.645
D)-1.960 and 1.960
Question
Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.

A) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)   <div style=padding-top: 35px> denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?

A) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2. <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Should we conclude that the average time it takes experts to crack the safes does not differ by model at the 5% significance level?</strong> A)Yes,the 95% confidence interval for μ<sub>D</sub> contains 0. B)No,the 95% confidence interval for μ<sub>D</sub> does not contain 0. C)No,the 95% confidence interval for μ<sub>D</sub> contains 0,but the absolute value of the upper bound is larger than the absolute value of the lower bound. D)Not enough information to determine. <div style=padding-top: 35px> Refer to Exhibit 10.10.Should we conclude that the average time it takes experts to crack the safes does not differ by model at the 5% significance level?

A)Yes,the 95% confidence interval for μD contains 0.
B)No,the 95% confidence interval for μD does not contain 0.
C)No,the 95% confidence interval for μD contains 0,but the absolute value of the upper bound is larger than the absolute value of the lower bound.
D)Not enough information to determine.
Question
A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?

A)A hypothesis test for <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?</strong> A)A hypothesis test for   B)A hypothesis test for   C)A matched-pairs hypothesis test for the population means. D)A matched-pairs hypothesis test for the population proportions. <div style=padding-top: 35px>
B)A hypothesis test for <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?</strong> A)A hypothesis test for   B)A hypothesis test for   C)A matched-pairs hypothesis test for the population means. D)A matched-pairs hypothesis test for the population proportions. <div style=padding-top: 35px>
C)A matched-pairs hypothesis test for the population means.
D)A matched-pairs hypothesis test for the population proportions.
Question
Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?</strong> A)Reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. B)Reject   ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points. C)Fail to reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. D)Fail to reject <div style=padding-top: 35px> denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?

A)Reject <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?</strong> A)Reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. B)Reject   ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points. C)Fail to reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. D)Fail to reject <div style=padding-top: 35px> ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points.
B)Reject <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?</strong> A)Reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. B)Reject   ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points. C)Fail to reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. D)Fail to reject <div style=padding-top: 35px> ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points.
C)Fail to reject <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?</strong> A)Reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. B)Reject   ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points. C)Fail to reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. D)Fail to reject <div style=padding-top: 35px> ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points.
D)Fail to reject
Question
Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p1 and p2 be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?

A) <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p1 and p2 be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What type of a hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates?

A)A z test of two sample proportions with a zero hypothesized difference
B)A t test of two population proportions with a zero hypothesized difference
C)A z test of two population proportions with a zero hypothesized difference
D)A t test of two population proportions with a non-zero hypothesized difference
Question
Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2. <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Assuming the difference D is normally distributed,what is the 95% confidence interval for μ<sub>D</sub>?</strong> A)[-1.7537,5.7537] B)[-1.1459,5.1459] C)[-0.6739,4.6739] D)[-0.5368,4.5368] <div style=padding-top: 35px> Refer to Exhibit 10.10.Assuming the difference D is normally distributed,what is the 95% confidence interval for μD?

A)[-1.7537,5.7537]
B)[-1.1459,5.1459]
C)[-0.6739,4.6739]
D)[-0.5368,4.5368]
Question
In testing the difference between two population proportions under independent sampling,when do you pool the sample proportions and use the formula <strong>In testing the difference between two population proportions under independent sampling,when do you pool the sample proportions and use the formula   ?</strong> A)When the population proportions are assumed equal. B)When the difference in the population proportions is hypothesized to be zero. C)When the difference in the population proportions is hypothesized to be different than zero. D)All of the above. <div style=padding-top: 35px> ?

A)When the population proportions are assumed equal.
B)When the difference in the population proportions is hypothesized to be zero.
C)When the difference in the population proportions is hypothesized to be different than zero.
D)All of the above.
Question
A coach is examining two basketball players' free-throw percentages over the last few games.Bob made 34 out of 85 shots and Joe made 72 out of 125 shots.The coach wants to know if Bob is a 10% worse free-throw shooter than Joe.Which of the following would be the p-value of the corresponding test?

A)0.1364
B)0.2728
C)0.4322
D)0.4544
Question
Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the conclusion for the test at   ?</strong> A)Given the critical value 1.645,we conclude that training increases scores. B)Given the critical value 2.015,we conclude that training increases scores. C)Given the critical value -2.015,we conclude that training increases scores. D)Given the critical value -1.645,we conclude that training increases scores. <div style=padding-top: 35px> as the mean of the differences calculated as pre-test score minus post-test score. <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the conclusion for the test at   ?</strong> A)Given the critical value 1.645,we conclude that training increases scores. B)Given the critical value 2.015,we conclude that training increases scores. C)Given the critical value -2.015,we conclude that training increases scores. D)Given the critical value -1.645,we conclude that training increases scores. <div style=padding-top: 35px> Refer to Exhibit 10.8.What is the conclusion for the test at <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the conclusion for the test at   ?</strong> A)Given the critical value 1.645,we conclude that training increases scores. B)Given the critical value 2.015,we conclude that training increases scores. C)Given the critical value -2.015,we conclude that training increases scores. D)Given the critical value -1.645,we conclude that training increases scores. <div style=padding-top: 35px> ?

A)Given the critical value 1.645,we conclude that training increases scores.
B)Given the critical value 2.015,we conclude that training increases scores.
C)Given the critical value -2.015,we conclude that training increases scores.
D)Given the critical value -1.645,we conclude that training increases scores.
Question
Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.

A) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2. <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)   <div style=padding-top: 35px> Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?

A) <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
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Deck 10: Statistical Inference Concerning Two Populations
1
When comparing two population means,their hypothesized difference ____________.

A)Must be negative
B)Must be positive
C)Must be zero
D)May assume any value
May assume any value
2
The difference between the two sample means The difference between the two sample means   is an interval estimator of the difference between two population means   . is an interval estimator of the difference between two population means The difference between the two sample means   is an interval estimator of the difference between two population means   . .
False
3
We always deal with matched-pairs sampling if two samples have the same number of observations.
False
4
We convert the estimate We convert the estimate   into the corresponding value of the z or t test statistic by dividing the difference between   and the hypothesized difference   by the standard error of the estimator   . into the corresponding value of the z or t test statistic by dividing the difference between We convert the estimate   into the corresponding value of the z or t test statistic by dividing the difference between   and the hypothesized difference   by the standard error of the estimator   . and the hypothesized difference We convert the estimate   into the corresponding value of the z or t test statistic by dividing the difference between   and the hypothesized difference   by the standard error of the estimator   . by the standard error of the estimator We convert the estimate   into the corresponding value of the z or t test statistic by dividing the difference between   and the hypothesized difference   by the standard error of the estimator   . .
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5
In the case when In the case when   and   are unknown and can be assumed equal,we can calculate a pooled estimate of the population variance. and In the case when   and   are unknown and can be assumed equal,we can calculate a pooled estimate of the population variance. are unknown and can be assumed equal,we can calculate a pooled estimate of the population variance.
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6
The necessary condition for a matched-pairs sample is that the same individual gets sampled twice.
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7
If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.

A) <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)
B) <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)
C) <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)
D) <strong>If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if both sample sizes are sufficiently large-that is,when ____________.</strong> A)   B)   C)   D)
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8
The choice of an appropriate test for comparing two population means depends on whether we deal with ____________.

A)Qualitative or quantitative data
B)Independent or matched-pairs sampling
C)The equality or lack of equality of population variances
D)All of the above
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9
The margin of error in the confidence interval for the difference The margin of error in the confidence interval for the difference   equals the standard error   multiplied by either   or   ,depending on whether or not the population variances are known. equals the standard error The margin of error in the confidence interval for the difference   equals the standard error   multiplied by either   or   ,depending on whether or not the population variances are known. multiplied by either The margin of error in the confidence interval for the difference   equals the standard error   multiplied by either   or   ,depending on whether or not the population variances are known. or The margin of error in the confidence interval for the difference   equals the standard error   multiplied by either   or   ,depending on whether or not the population variances are known. ,depending on whether or not the population variances are known.
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10
What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?

A) <strong>What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?</strong> A)   B)   C)   D)
B) <strong>What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?</strong> A)   B)   C)   D)
C) <strong>What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?</strong> A)   B)   C)   D)
D) <strong>What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal?</strong> A)   B)   C)   D)
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11
When calculating the standard error of <strong>When calculating the standard error of   ,under what assumption do you pool the sample variances   and   ?</strong> A)Known population variances B)Unknown population variances that are assumed equal C)Unknown population variances that are assumed unequal D)All of the above ,under what assumption do you pool the sample variances <strong>When calculating the standard error of   ,under what assumption do you pool the sample variances   and   ?</strong> A)Known population variances B)Unknown population variances that are assumed equal C)Unknown population variances that are assumed unequal D)All of the above and <strong>When calculating the standard error of   ,under what assumption do you pool the sample variances   and   ?</strong> A)Known population variances B)Unknown population variances that are assumed equal C)Unknown population variances that are assumed unequal D)All of the above ?

A)Known population variances
B)Unknown population variances that are assumed equal
C)Unknown population variances that are assumed unequal
D)All of the above
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12
The confidence interval for the difference The confidence interval for the difference   is based on the same approach used in the case of one sample: Point Estimate ± Standard Error. is based on the same approach used in the case of one sample: Point Estimate ± Standard Error.
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13
Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?

A) <strong>Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?</strong> A)   B)   C)   D)
B) <strong>Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?</strong> A)   B)   C)   D)
C) <strong>Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?</strong> A)   B)   C)   D)
D) <strong>Which of the following pairs of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using independent random sampling?</strong> A)   B)   C)   D)
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14
Two or more random samples are considered independent if ____________.

A)The process that generates one sample is the same as the process that generates the other sample
B)The process that generates one sample partially overlaps the process that generates the other sample
C)The process that generates one sample completely overlaps the process that generates the other sample
D)The process that generates one sample is completely separate from the process that generates the other sample
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15
Which of the following is not a restriction for comparing two population means?

A)A normally distributed sampling distribution of <strong>Which of the following is not a restriction for comparing two population means?</strong> A)A normally distributed sampling distribution of   B)The equality of the sample sizes C)Both A and B D)Neither A or B
B)The equality of the sample sizes
C)Both A and B
D)Neither A or B
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16
Suppose you want to perform a test to compare the mean GPA of all freshmen with the mean GPA of all sophomores in a college? What type of sampling is required for this test?

A)Independent sampling with qualitative data
B)Independent sampling with quantitative data
C)Matched-pairs sampling with qualitative data
D)Matched-pairs sampling with quantitative data
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17
A demographer wants to measure life expectancy in countries 1 and 2.Let <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)   and <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.

A) <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)
B) <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)
C) <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)
D) <strong>A demographer wants to measure life expectancy in countries 1 and 2.Let   and   denote the mean life expectancy in countries 1 and 2,respectively.Specify the hypothesis to determine if life expectancy in country 1 is more than 10 years lower than in country 2.</strong> A)   B)   C)   D)
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18
For a statistical inference regarding For a statistical inference regarding   ,it is imperative that the sampling distribution of   is normally distributed. ,it is imperative that the sampling distribution of For a statistical inference regarding   ,it is imperative that the sampling distribution of   is normally distributed. is normally distributed.
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19
If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if the sum of the sample observations is sufficiently large-that is,when   . is approximately normal only if the sum of the sample observations is sufficiently large-that is,when If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of   is approximately normal only if the sum of the sample observations is sufficiently large-that is,when   . .
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20
Two random samples are considered independent if the observations in the first sample are different from the observations of the second sample.
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21
In the test for comparing two population means when population variances are unknown and unequal,a student calculates the degrees of freedom using the proper formula as 34.7.How many degrees of freedom should the student assume to find the p-value of the test?

A)34
B)34.7
C)35
D)None of the Above
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22
What type of data is required to compare prices of the same textbooks sold by two different vendors?

A)Dependent random samples with qualitative data
B)Dependent random samples with quantitative data
C)Independent random samples with qualitative data
D)Independent random samples with quantitative data
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23
When testing the difference between two population means under independent sampling,we use the z distribution if ____________.

A)The population variances are known
B)The population variances are unknown,but assumed to be equal
C)The population variances are unknown and cannot be assumed equal
D)Both A and B
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24
Assume the competing hypotheses take the following form: <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   versus <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   ,where <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   is the population mean for population 1 and <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.

A) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)
B) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)
C) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)
D) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and we use independent sampling.The population variances are not known and cannot be assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)
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25
If the sampling distribution of <strong>If the sampling distribution of   cannot be assumed normal,we _____________.</strong> A)Are unable to compute a confidence interval B)Are still able to use the z distribution to compute a confidence interval C)Must use the t distribution with   degrees of freedom to compute a confidence interval D)Must use the t distribution and calculate the degrees of freedom using cannot be assumed normal,we _____________.

A)Are unable to compute a confidence interval
B)Are still able to use the z distribution to compute a confidence interval
C)Must use the t distribution with <strong>If the sampling distribution of   cannot be assumed normal,we _____________.</strong> A)Are unable to compute a confidence interval B)Are still able to use the z distribution to compute a confidence interval C)Must use the t distribution with   degrees of freedom to compute a confidence interval D)Must use the t distribution and calculate the degrees of freedom using degrees of freedom to compute a confidence interval
D)Must use the t distribution and calculate the degrees of freedom using
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26
A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)   and <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.

A) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)
B) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)
C) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)
D) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP and non-HAMP modifications that did not re-default,respectively.</strong> A)   B)   C)   D)
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What type of data should be collected when examining a situation in which two candidates running in different elections are being compared in their likelihood of winning their elections?

A)Matched-pairs sampling with qualitative data
B)Matched-pairs sampling with quantitative data
C)Independent sampling with qualitative data
D)Independent sampling with quantitative data
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A particular personal trainer works primarily with track and field athletes.She believes that her clients run faster after going through her program for six weeks.How might she test that claim?

A)A hypothesis test for <strong>A particular personal trainer works primarily with track and field athletes.She believes that her clients run faster after going through her program for six weeks.How might she test that claim?</strong> A)A hypothesis test for   . B)A hypothesis test for   . C)A matched pairs hypothesis test for μ<sub>D</sub>. D)We are unable to conduct a hypothesis test since the samples would not be independent. .
B)A hypothesis test for <strong>A particular personal trainer works primarily with track and field athletes.She believes that her clients run faster after going through her program for six weeks.How might she test that claim?</strong> A)A hypothesis test for   . B)A hypothesis test for   . C)A matched pairs hypothesis test for μ<sub>D</sub>. D)We are unable to conduct a hypothesis test since the samples would not be independent. .
C)A matched pairs hypothesis test for μD.
D)We are unable to conduct a hypothesis test since the samples would not be independent.
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Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the appropriate p-value.</strong> A)0.0592 B)0.0847 C)0.0896 D)0.1184 and <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the appropriate p-value.</strong> A)0.0592 B)0.0847 C)0.0896 D)0.1184 represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the appropriate p-value.

A)0.0592
B)0.0847
C)0.0896
D)0.1184
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A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?

A)A hypothesis test for <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?</strong> A)A hypothesis test for   . B)A hypothesis test for   . C)A matched-pairs hypothesis test. D)We are unable to conduct a hypothesis test since independent random samples of each group could not be collected. .
B)A hypothesis test for <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?</strong> A)A hypothesis test for   . B)A hypothesis test for   . C)A matched-pairs hypothesis test. D)We are unable to conduct a hypothesis test since independent random samples of each group could not be collected. .
C)A matched-pairs hypothesis test.
D)We are unable to conduct a hypothesis test since independent random samples of each group could not be collected.
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Exhibit 10.2.Calcium is an essential nutrient for strong bones and for controlling blood pressure and heart beat.Since most of the body's calcium is stored in bones and teeth,the body withdraws the calcium it needs from the bones.Over time,if more calcium is taken out of the bones than is put in,the result may be thin,weak bones.This is especially important for women who are often recommended a calcium supplement.A consumer group activist assumes that calcium content in two popular supplements are normally distributed with the same unknown population variance,and uses the following information obtained under independent sampling: <strong>Exhibit 10.2.Calcium is an essential nutrient for strong bones and for controlling blood pressure and heart beat.Since most of the body's calcium is stored in bones and teeth,the body withdraws the calcium it needs from the bones.Over time,if more calcium is taken out of the bones than is put in,the result may be thin,weak bones.This is especially important for women who are often recommended a calcium supplement.A consumer group activist assumes that calcium content in two popular supplements are normally distributed with the same unknown population variance,and uses the following information obtained under independent sampling:   Let μ<sub>1</sub> and μ<sub>2</sub> denote the corresponding population means. Refer to Exhibit 10.2.Construct a 95% confidence interval for the difference μ<sub>1</sub> - μ<sub>2</sub>.</strong> A)[-30.9386,1.0614] B)[-31.5886,-0.4114] C)[-33.8007,1.8007] D)[-34.8012,2.8012] Let μ1 and μ2 denote the corresponding population means. Refer to Exhibit 10.2.Construct a 95% confidence interval for the difference μ1 - μ2.

A)[-30.9386,1.0614]
B)[-31.5886,-0.4114]
C)[-33.8007,1.8007]
D)[-34.8012,2.8012]
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32
Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?

A) <strong>Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?</strong> A)   B)   C)   D)
B) <strong>Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?</strong> A)   B)   C)   D)
C) <strong>Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?</strong> A)   B)   C)   D)
D) <strong>Which of the following set of hypotheses are used to test if the mean of the first population is smaller than the mean of the second population,using matched-paired sampling?</strong> A)   B)   C)   D)
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Assume the competing hypotheses take the following form: <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   versus <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   ,where <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   is the population mean for population 1 and <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.

A) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)
B) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)
C) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)
D) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed with known variances and we use independent sampling.The value of the appropriate test statistic is computed as ___________.</strong> A)   B)   C)   D)
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What type of test for population means should be performed when examining a situation in which employees are first tested,then trained,and finally retested?

A)A z test under independent sampling with known population variances
B)A t test under independent sampling with unknown but equal population variances
C)A t test under dependent sampling
D)A t test under independent sampling with unknown and unequal population variances
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When the hypothesized difference of the population proportions is equal to 0,we ____________.

A)Use a matched-pairs approach
B)Are able to estimate the standard error of <strong>When the hypothesized difference of the population proportions is equal to 0,we ____________.</strong> A)Use a matched-pairs approach B)Are able to estimate the standard error of   using the pooled   C)Can use the confidence interval to implement the test if the difference of the population proportions is equal to 0 D)Both B and C using the pooled
<strong>When the hypothesized difference of the population proportions is equal to 0,we ____________.</strong> A)Use a matched-pairs approach B)Are able to estimate the standard error of   using the pooled   C)Can use the confidence interval to implement the test if the difference of the population proportions is equal to 0 D)Both B and C
C)Can use the confidence interval to implement the test if the difference of the population proportions is equal to 0
D)Both B and C
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Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   and <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.

A) <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.1 A farmer uses a lot of fertilizer to grow his crops.The farmer's manager thinks fertilizer products from distributor A contain more of the nitrogen that his plants need than distributor B's fertilizer does.He takes two independent samples of four batches of fertilizer from each distributor and measures the amount of nitrogen in each batch.Fertilizer from distributor A contained 23 pounds per batch and fertilizer from distributor B contained 18 pounds per batch.Suppose the population standard deviation for distributor A and distributor B is four pounds per batch and five pounds per batch,respectively.Assume the distribution of nitrogen in fertilizer is normally distributed.Let   and   represent the average amount of nitrogen per batch for fertilizer's A and B,respectively. Refer to Exhibit 10.1.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
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You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.

A) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.</strong> A)   B)   C)   D)
B) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.</strong> A)   B)   C)   D)
C) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.</strong> A)   B)   C)   D)
D) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let men and women be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as _____________.</strong> A)   B)   C)   D)
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It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:

A)In every case.
B)Only if <strong>It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:</strong> A)In every case. B)Only if   and   . C)Only if   and   . D)Only if and
<strong>It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:</strong> A)In every case. B)Only if   and   . C)Only if   and   . D)Only if .
C)Only if <strong>It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:</strong> A)In every case. B)Only if   and   . C)Only if   and   . D)Only if and
<strong>It is appropriate to conduct a hypothesis test for the difference between two population proportions under independent sampling:</strong> A)In every case. B)Only if   and   . C)Only if   and   . D)Only if .
D)Only if
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You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.

A) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.</strong> A)   B)   C)   D)
B) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.</strong> A)   B)   C)   D)
C) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.</strong> A)   B)   C)   D)
D) <strong>You would like to determine if there is a higher incidence of smoking among women than among men in a neighborhood.Let women and men be represented by populations 1 and 2,respectively.The relevant hypotheses are constructed as ____________.</strong> A)   B)   C)   D)
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Assume the competing hypotheses take the following form: <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   versus <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   ,where <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   is the population mean for population 1 and <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.

A) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)
B) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)
C) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)
D) <strong>Assume the competing hypotheses take the following form:   versus   ,where   is the population mean for population 1 and   is the population mean for population 2.Also assume that the populations are normally distributed and that the observations in the two samples are independent.The population variances are not known but are assumed equal.The value of the appropriate test statistic is computed as ____________.</strong> A)   B)   C)   D)
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Exhibit 10.6.A university wants to compare out-of-state applicants' mean SAT math scores (μ1)to instate applicants' mean SAT math scores (μ2).The university looks at 35 instate applicants and 35 out-of-state applicants.The mean SAT math score for instate applicants was 540,with a standard deviation of 20.The mean SAT math score for out-of-state applicants was 555,with a standard deviation of 25.It is reasonable to assume the corresponding population standard deviations are equal. Refer to Exhibit 10.6.At the 5% significance level,can the university conclude that the mean SAT math score for instate students and out-of-state students differ?

A)No,because the confidence interval contains zero.
B)Yes,because the confidence interval contains zero.
C)No,because the confidence interval does not contain zero.
D)Yes,because the confidence interval does not contain zero.
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Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)   as the mean of the differences calculated as pre-test score minus post-test score. <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?

A) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What are the appropriate hypotheses to determine if the training increases scores?</strong> A)   B)   C)   D)
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Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What is the appropriate decision given a 5% level of significance?

A)Conclude that the mean attendance differs since the p-value = 0.0067 < 0.05.
B)Conclude that the mean attendance differs since the p-value = 0.0134 < 0.05.
C)Do not conclude that the mean attendance differs since the p-value = 0.0067 < 0.05.
D)Do not conclude that the mean attendance differs since the p-value = 0.0134 < 0.05.
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Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively. Refer to Exhibit 10.7.At the 1% significance level,does the evidence support the professor's claim?</strong> A)No,since the test statistic is less than the critical value. B)Yes,since the test statistic is less than the critical value. C)No,since the test statistic is greater than the critical value. D)Yes,since the test statistic is greater than the critical value. and <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively. Refer to Exhibit 10.7.At the 1% significance level,does the evidence support the professor's claim?</strong> A)No,since the test statistic is less than the critical value. B)Yes,since the test statistic is less than the critical value. C)No,since the test statistic is greater than the critical value. D)Yes,since the test statistic is greater than the critical value. represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively. Refer to Exhibit 10.7.At the 1% significance level,does the evidence support the professor's claim?

A)No,since the test statistic is less than the critical value.
B)Yes,since the test statistic is less than the critical value.
C)No,since the test statistic is greater than the critical value.
D)Yes,since the test statistic is greater than the critical value.
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Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.

A) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.Assuming the population variances are equal,compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)
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Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.At the 5% significance level,does the evidence support the manager's claim?</strong> A)No,since the test statistic value is less than the critical value. B)Yes,since the test statistic value is less than the critical value. C)No,since the test statistic value is greater than the critical value. D)Yes,since the test statistic value is greater than the critical value. and <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.At the 5% significance level,does the evidence support the manager's claim?</strong> A)No,since the test statistic value is less than the critical value. B)Yes,since the test statistic value is less than the critical value. C)No,since the test statistic value is greater than the critical value. D)Yes,since the test statistic value is greater than the critical value. denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.At the 5% significance level,does the evidence support the manager's claim?

A)No,since the test statistic value is less than the critical value.
B)Yes,since the test statistic value is less than the critical value.
C)No,since the test statistic value is greater than the critical value.
D)Yes,since the test statistic value is greater than the critical value.
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Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?

A) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What are the appropriate hypotheses to determine if the average sales of the two varieties of truffles differ significantly during the holiday season?</strong> A)   B)   C)   D)
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Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)   and <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.

A) <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.2.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Specify the hypotheses to test the manager's claim.</strong> A)   B)   C)   D)
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Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)   and <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.

A) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Compute the appropriate test statistic to analyze the claim at the 1% significance level.</strong> A)   B)   C)   D)
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Exhibit 10.2.Calcium is an essential nutrient for strong bones and for controlling blood pressure and heart beat.Since most of the body's calcium is stored in bones and teeth,the body withdraws the calcium it needs from the bones.Over time,if more calcium is taken out of the bones than is put in,the result may be thin,weak bones.This is especially important for women who are often recommended a calcium supplement.A consumer group activist assumes that calcium content in two popular supplements are normally distributed with the same unknown population variance,and uses the following information obtained under independent sampling: <strong>Exhibit 10.2.Calcium is an essential nutrient for strong bones and for controlling blood pressure and heart beat.Since most of the body's calcium is stored in bones and teeth,the body withdraws the calcium it needs from the bones.Over time,if more calcium is taken out of the bones than is put in,the result may be thin,weak bones.This is especially important for women who are often recommended a calcium supplement.A consumer group activist assumes that calcium content in two popular supplements are normally distributed with the same unknown population variance,and uses the following information obtained under independent sampling:   Let μ<sub>1</sub> and μ<sub>2</sub> denote the corresponding population means. Refer to Exhibit 10.2.Can we conclude that the average calcium content of the two supplements differs at the 95% confidence level?</strong> A)No,since the 95% confidence interval contains the hypothesized value of zero. B)Yes,since the 95% confidence interval contains the hypothesized value of zero. C)No,since the 95% confidence interval does not contain the hypothesized value of zero. D)Yes,since the 95% confidence interval does not contain the hypothesized value of zero. Let μ1 and μ2 denote the corresponding population means. Refer to Exhibit 10.2.Can we conclude that the average calcium content of the two supplements differs at the 95% confidence level?

A)No,since the 95% confidence interval contains the hypothesized value of zero.
B)Yes,since the 95% confidence interval contains the hypothesized value of zero.
C)No,since the 95% confidence interval does not contain the hypothesized value of zero.
D)Yes,since the 95% confidence interval does not contain the hypothesized value of zero.
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Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.What is the appropriate critical value(s)to test the professor's claim at the 1% significance level?</strong> A)-2.381 and 2.381 B)-2.326 and 2.326 C)2.326 D)2.381 and <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.What is the appropriate critical value(s)to test the professor's claim at the 1% significance level?</strong> A)-2.381 and 2.381 B)-2.326 and 2.326 C)2.326 D)2.381 represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.What is the appropriate critical value(s)to test the professor's claim at the 1% significance level?

A)-2.381 and 2.381
B)-2.326 and 2.326
C)2.326
D)2.381
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Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)   as the mean of the differences calculated as pre-test score minus post-test score. <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?

A) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the value of the appropriate test statistic?</strong> A)   B)   C)   D)
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Exhibit 10.6.A university wants to compare out-of-state applicants' mean SAT math scores (μ1)to instate applicants' mean SAT math scores (μ2).The university looks at 35 instate applicants and 35 out-of-state applicants.The mean SAT math score for instate applicants was 540,with a standard deviation of 20.The mean SAT math score for out-of-state applicants was 555,with a standard deviation of 25.It is reasonable to assume the corresponding population standard deviations are equal. Refer to Exhibit 10.6.To calculate the confidence interval for the difference μ1 - μ2,what is the number of degrees of freedom of the appropriate probability distribution?

A)64
B)64.87
C)68
D)69
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Exhibit 10.5.A producer of fine chocolates believes that the sales of two varieties of truffles differ significantly during the holiday season.The first variety is milk chocolate while the second is milk chocolate filled with mint.It is reasonable to assume that truffle sales are normally distributed with unknown but equal population variances.Two independent samples of 18 observations each are collected for the holiday period.A sample mean of 12 million milk chocolate truffles sold with a sample standard deviation of 2.5 million.A sample mean of 13.5 million truffles filled with mint sold with a sample standard deviation of 2.3 million.Use milk chocolate as population 1 and mint chocolate as population 2. Refer to Exhibit 10.5.What is the appropriate decision given a 5% level of significance?

A)Conclude that the average milk chocolate and mint chocolate sales differ since the p-value is greater than 0.05.
B)Conclude that the average milk chocolate and mint chocolate sales do not differ since the p-value is less than 0.05.
C)Do not conclude that the average milk chocolate and mint chocolate sales differ since the p-value is greater than 0.05.
D)Do not conclude that the average milk chocolate and mint chocolate sales do not differ since the p-value is less than 0.05.
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Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.What is the appropriate critical value(s)to test the manager's claim at the 5% significance level?</strong> A)1.645 B)1.668 C)1.960 D)1.997 and <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.What is the appropriate critical value(s)to test the manager's claim at the 5% significance level?</strong> A)1.645 B)1.668 C)1.960 D)1.997 denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.What is the appropriate critical value(s)to test the manager's claim at the 5% significance level?

A)1.645
B)1.668
C)1.960
D)1.997
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Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)   as the mean difference in matched-pairs sampling.

A) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.What are the appropriate hypotheses to determine whether there is a difference in attendance for shows on Tuesday evening and Wednesday evening.Use Tuesday attendance as population 1 and Wednesday attendance as population 2 or   as the mean difference in matched-pairs sampling.</strong> A)   B)   C)   D)
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Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.

A) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.4.A 7000-seat theater is interested in determining whether there is a difference in attendance between shows on Tuesday evening and those on Wednesday evening.Two independent samples of 25 weeks are collected for Tuesday and Wednesday.The mean attendance on Tuesday evening is calculated as 5500,while the mean attendance on Wednesday evening is calculated as 5850.The known population standard deviation for attendance on Tuesday evening is 550 and the known population standard deviation for attendance on Wednesday evening is 445. Refer to Exhibit 10.4.Compute the value of the appropriate test statistic.</strong> A)   B)   C)   D)
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Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)   and <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.

A) <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.3.A restaurant chain has two locations in a medium-sized town and,believing that it has oversaturated the market for its food,is considering closing one of the restaurants.The manager of the restaurant with a downtown location claims that his restaurant generates more revenue than the sister restaurant by the freeway.The CEO of this company,wishing to test this claim,randomly selects 36 monthly revenue totals for each restaurant.The revenue data from the downtown restaurant have a mean of $360,000 and a standard deviation of $50,000,while the data from the restaurant by the freeway have a mean of $340,000 and a standard deviation of $40,000.Assume there is no reason to believe the population standard deviations are equal,and let   and   denote the mean monthly revenue of the downtown restaurant and the restaurant by the freeway,respectively. Refer to Exhibit 10.3.Compute the value of the appropriate test statistic to analyze the claim.</strong> A)   B)   C)   D)
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Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)   and <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?

A) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.7.A stats professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown,but assumed to be equal for morning and evening classes.Let   and   represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively Refer to Exhibit 10.7.Which if the following hypotheses will test the professor's claim?</strong> A)   B)   C)   D)
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Exhibit 10.6.A university wants to compare out-of-state applicants' mean SAT math scores (μ1)to instate applicants' mean SAT math scores (μ2).The university looks at 35 instate applicants and 35 out-of-state applicants.The mean SAT math score for instate applicants was 540,with a standard deviation of 20.The mean SAT math score for out-of-state applicants was 555,with a standard deviation of 25.It is reasonable to assume the corresponding population standard deviations are equal. Refer to Exhibit 10.6.Calculate a 95% confidence interval for the difference μ1 - μ2.

A)[-25.6067,-4.3933]
B)[-25.7961,-4.2039]
C)[-25.8124,-4.1876]
D)[-33.6105,3.6105]
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Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?

A) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Assuming α = 0.05,which of the following is the appropriate critical value?</strong> A)   B)   C)   D)
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A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)   and <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively

A) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)
B) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)
C) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)
D) <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.Define the null and alternative hypotheses to test whether borrowers who receive HAMP modifications default less than borrowers who receive non-HAMP modifications.Let   and   represent the proportion of borrowers who received HAMP modifications that did not re-default,and the proportion of borrowers who received non-HAMP modifications that did not re-default,respectively</strong> A)   B)   C)   D)
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Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.

A) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
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Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p1 and p2 be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What is the conclusion for the test at <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What is the conclusion for the test at   ?</strong> A)Reject H<sub>0</sub>: p<sub>1</sub> = p<sub>2</sub> and therefore conclude that the proportions differ. B)Reject H<sub>0</sub>: p<sub>1</sub> = p<sub>2</sub> and therefore do not conclude that the proportions differ. C)Do not reject H<sub>0</sub>: p<sub>1</sub> = p<sub>2</sub> and therefore conclude that the proportions differ. D)Do not reject H<sub>0</sub>: p<sub>1</sub> = p<sub>2</sub> and therefore do not conclude that the proportions differ. ?

A)Reject H0: p1 = p2 and therefore conclude that the proportions differ.
B)Reject H0: p1 = p2 and therefore do not conclude that the proportions differ.
C)Do not reject H0: p1 = p2 and therefore conclude that the proportions differ.
D)Do not reject H0: p1 = p2 and therefore do not conclude that the proportions differ.
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Exhibit 10.12.A veterinarian wants to know if pit bulls or golden retrievers have a higher incidence of tooth decay at the age of three.The vet surveys 120 three-year old pit bulls and finds 30 of them have tooth decay.The vet then surveys 160 three-year old golden retrievers and finds 32 of them have tooth decay.Number the population of pit bulls and golden retrievers by 1 and 2,respectively. Refer to Exhibit 10.12.Calculate a 90% confidence interval for the difference in the population proportion of pit bulls and golden retrievers that have tooth decay.Which of the following is correct?

A)[-0.0492,0.1492]
B)[-0.0332,0.1332]
C)[0.0199.0.0801]
D)[0.0428,0.0572]
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Exhibit 10.12.A veterinarian wants to know if pit bulls or golden retrievers have a higher incidence of tooth decay at the age of three.The vet surveys 120 three-year old pit bulls and finds 30 of them have tooth decay.The vet then surveys 160 three-year old golden retrievers and finds 32 of them have tooth decay.Number the population of pit bulls and golden retrievers by 1 and 2,respectively. Refer to Exhibit 10.12.At the 10% significance level,can the vet conclude the proportion of pit bulls that have tooth decay is different than the proportion of golden retrievers that have tooth decay?

A)No,because the confidence interval contains zero.
B)Yes,because the confidence interval contains zero.
C)No,because the confidence interval does not contain zero.
D)Yes,because the confidence interval does not contain zero.
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Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p1 and p2 be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.Use a 5% level of significance to find the critical value (s)of the appropriate test.

A)1.645
B)1.960
C)-1.645 and +1.645
D)-1.960 and 1.960
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Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.

A) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Calculate the value of the test statistic.</strong> A)   B)   C)   D)
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Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?

A) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.Which of the following hypotheses will determine if the students improved their test scores by more than 50 points after being tutored?</strong> A)   B)   C)   D)
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Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2. <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Should we conclude that the average time it takes experts to crack the safes does not differ by model at the 5% significance level?</strong> A)Yes,the 95% confidence interval for μ<sub>D</sub> contains 0. B)No,the 95% confidence interval for μ<sub>D</sub> does not contain 0. C)No,the 95% confidence interval for μ<sub>D</sub> contains 0,but the absolute value of the upper bound is larger than the absolute value of the lower bound. D)Not enough information to determine. Refer to Exhibit 10.10.Should we conclude that the average time it takes experts to crack the safes does not differ by model at the 5% significance level?

A)Yes,the 95% confidence interval for μD contains 0.
B)No,the 95% confidence interval for μD does not contain 0.
C)No,the 95% confidence interval for μD contains 0,but the absolute value of the upper bound is larger than the absolute value of the lower bound.
D)Not enough information to determine.
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A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?

A)A hypothesis test for <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?</strong> A)A hypothesis test for   B)A hypothesis test for   C)A matched-pairs hypothesis test for the population means. D)A matched-pairs hypothesis test for the population proportions.
B)A hypothesis test for <strong>A particular bank has two loan modification programs for distressed borrowers: Home Affordable Modification Program (HAMP)modifications,where the federal government pays the bank $1,000 for each successful modification,and non-HAMP modifications,where the bank does not receive a bonus from the federal government.In order to qualify for a HAMP modification,borrowers must meet a set of financial suitability criteria.What type of hypothesis test should we use to test whether borrowers from this particular bank who receive HAMP modifications are more likely to re-default than those who receive non-HAMP modifications?</strong> A)A hypothesis test for   B)A hypothesis test for   C)A matched-pairs hypothesis test for the population means. D)A matched-pairs hypothesis test for the population proportions.
C)A matched-pairs hypothesis test for the population means.
D)A matched-pairs hypothesis test for the population proportions.
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Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?</strong> A)Reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. B)Reject   ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points. C)Fail to reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. D)Fail to reject denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?

A)Reject <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?</strong> A)Reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. B)Reject   ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points. C)Fail to reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. D)Fail to reject ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points.
B)Reject <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?</strong> A)Reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. B)Reject   ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points. C)Fail to reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. D)Fail to reject ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points.
C)Fail to reject <strong>Exhibit 10.9.A tutor promises to improve GMAT scores of students by more than 50 points after three lessons.To see if this is true,the tutor takes a sample of 49 students' test scores after and before they received tutoring.The mean difference was 53 points better after tutoring,with a standard deviation of the difference equal to 12 points.Let   denote the mean of the difference: score after tutoring minus score before tutoring. Refer to Exhibit 10.9.What is the appropriate conclusion at the 5% significance level?</strong> A)Reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. B)Reject   ,we cannot conclude that the mean difference in test scores after and before tutoring is greater than 50 points. C)Fail to reject   ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points. D)Fail to reject ,we can conclude that the mean difference in test scores after and before tutoring is greater than 50 points.
D)Fail to reject
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73
Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p1 and p2 be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?

A) <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p<sub>1</sub> and p<sub>2</sub> be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What are the competing hypotheses to determine whether the percentages of supporting votes are different between the two incumbent candidates?</strong> A)   B)   C)   D)
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74
Exhibit 10.11.The student senate at a local university is about to hold elections.A representative from the women's sports program and a representative from the men's sports program must both be elected.Two candidates,an incumbent and a challenger,are vying for each position and early polling results are presented next.A hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates.In a sample of 100 voters,67 said that they would vote for the women's incumbent candidate.In a separate sample of 100 voters,55 said they would vote for the men's incumbent candidate.Let p1 and p2 be the proportions of supporting votes for the incumbent candidates representing women's and men's sports programs,respectively. Refer to Exhibit 10.11.What type of a hypothesis test must be performed to determine whether the percentages of supporting votes are different between the two incumbent candidates?

A)A z test of two sample proportions with a zero hypothesized difference
B)A t test of two population proportions with a zero hypothesized difference
C)A z test of two population proportions with a zero hypothesized difference
D)A t test of two population proportions with a non-zero hypothesized difference
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75
Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2. <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Assuming the difference D is normally distributed,what is the 95% confidence interval for μ<sub>D</sub>?</strong> A)[-1.7537,5.7537] B)[-1.1459,5.1459] C)[-0.6739,4.6739] D)[-0.5368,4.5368] Refer to Exhibit 10.10.Assuming the difference D is normally distributed,what is the 95% confidence interval for μD?

A)[-1.7537,5.7537]
B)[-1.1459,5.1459]
C)[-0.6739,4.6739]
D)[-0.5368,4.5368]
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76
In testing the difference between two population proportions under independent sampling,when do you pool the sample proportions and use the formula <strong>In testing the difference between two population proportions under independent sampling,when do you pool the sample proportions and use the formula   ?</strong> A)When the population proportions are assumed equal. B)When the difference in the population proportions is hypothesized to be zero. C)When the difference in the population proportions is hypothesized to be different than zero. D)All of the above. ?

A)When the population proportions are assumed equal.
B)When the difference in the population proportions is hypothesized to be zero.
C)When the difference in the population proportions is hypothesized to be different than zero.
D)All of the above.
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77
A coach is examining two basketball players' free-throw percentages over the last few games.Bob made 34 out of 85 shots and Joe made 72 out of 125 shots.The coach wants to know if Bob is a 10% worse free-throw shooter than Joe.Which of the following would be the p-value of the corresponding test?

A)0.1364
B)0.2728
C)0.4322
D)0.4544
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78
Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the conclusion for the test at   ?</strong> A)Given the critical value 1.645,we conclude that training increases scores. B)Given the critical value 2.015,we conclude that training increases scores. C)Given the critical value -2.015,we conclude that training increases scores. D)Given the critical value -1.645,we conclude that training increases scores. as the mean of the differences calculated as pre-test score minus post-test score. <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the conclusion for the test at   ?</strong> A)Given the critical value 1.645,we conclude that training increases scores. B)Given the critical value 2.015,we conclude that training increases scores. C)Given the critical value -2.015,we conclude that training increases scores. D)Given the critical value -1.645,we conclude that training increases scores. Refer to Exhibit 10.8.What is the conclusion for the test at <strong>Exhibit 10.8.A new sales training program has been instituted at a rent-to-own company.Prior to the training,10 employees were tested on their knowledge of products offered by the company.Once the training was completed,the employees were tested again in an effort to determine whether the training program was effective.Scores are known to be normally distributed.The sample scores on the tests are listed next.Use pre-test score as population 1 and post-test score as population 2,or   as the mean of the differences calculated as pre-test score minus post-test score.   Refer to Exhibit 10.8.What is the conclusion for the test at   ?</strong> A)Given the critical value 1.645,we conclude that training increases scores. B)Given the critical value 2.015,we conclude that training increases scores. C)Given the critical value -2.015,we conclude that training increases scores. D)Given the critical value -1.645,we conclude that training increases scores. ?

A)Given the critical value 1.645,we conclude that training increases scores.
B)Given the critical value 2.015,we conclude that training increases scores.
C)Given the critical value -2.015,we conclude that training increases scores.
D)Given the critical value -1.645,we conclude that training increases scores.
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79
Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.

A) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.13.A consumer magazine wants to figure out which of two major airlines lost a higher proportion of luggage on international flights.The magazine surveyed Standard Air (population 1)and Down Under airlines (population 2).Standard Air lost 45 out of 600 bags.Down Under airlines lost 30 of 500 bags.Does Standard Air have a higher population proportion of lost bags on international flights? Refer to Exhibit 10.13.Specify the competing hypotheses.</strong> A)   B)   C)   D)
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80
Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2. <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?

A) <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)
B) <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)
C) <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)
D) <strong>Exhibit 10.10.A bank is trying to determine which model of safe to install.The bank manager believes that each model is equally resistant to safe crackers,but sets up a test to be sure.He hires nine safe experts to break into each of the models,timing each endeavor.The results (in seconds)are given next,paired by expert.Let D be the difference: Time to break Safe 1 minus Time to break Safe 2.   Refer to Exhibit 10.10.Which of the following hypotheses will determine if the two safes take,on average,the same amount of time to crack?</strong> A)   B)   C)   D)
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