Deck 12: Inference About Comparing Two Populat

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Independent samples are those for which the selection process for one is not related to the selection process for the other.
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In comparing the difference in means with a matched pairs experiment, the variable under consideration is In comparing the difference in means with a matched pairs experiment, the variable under consideration is   , where the subscript D refers to the difference.<div style=padding-top: 35px> , where the subscript D refers to the difference.
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A political analyst in Iowa surveys a random sample of registered Republicans and compares the results with those obtained from a random sample of registered Democrats . This would be an example of two independent samples.
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The sampling distribution of The sampling distribution of   is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes n <sub>1</sub> and n <sub>2</sub> are large.<div style=padding-top: 35px> is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes n 1 and n 2 are large.
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The pooled-variances t -test requires that the two population variances need not be the same.
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A matched pairs experiment decreases variability (compared to two independent samples).
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Two samples of sizes 25 and 20 are independently drawn from two normal populations, where the unknown population variances are assumed to be equal. The number of degrees of freedom of the equal-variances t -test statistic is 44.
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The best estimator of the difference between two population means The best estimator of the difference between two population means   is the difference between two sample means   .<div style=padding-top: 35px> is the difference between two sample means The best estimator of the difference between two population means   is the difference between two sample means   .<div style=padding-top: 35px> .
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A calculus professor wanted to test whether the grades on calculus test were the same for upper and lower classmen. The professor took a random sample of size 12 from each group. For this situation, the professor should use a matched pairs t -test.
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When the population variances are unequal, we estimate each population variance with its sample variance. Hence, the unequal-variances test statistic of When the population variances are unequal, we estimate each population variance with its sample variance. Hence, the unequal-variances test statistic of   is approximately Student t -distributed with n <sub>1</sub> + n <sub>2</sub> - 2 degrees of freedom.<div style=padding-top: 35px> is approximately Student t -distributed with n 1 + n 2 - 2 degrees of freedom.
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When the sample sizes are equal, the pooled variance of the two samples is the average of the two sample variances.
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Unless we can conclude that the population variances are equal, we cannot use the pooled variance estimate.
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Two measurements from the same individuals is an example of data collected from a matched pairs experiment.
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Both the equal-variances and unequal variances test statistic and confidence interval estimator of Both the equal-variances and unequal variances test statistic and confidence interval estimator of   require that the two populations be normally distributed.<div style=padding-top: 35px> require that the two populations be normally distributed.
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In testing the difference between two population means using two independent samples, the sampling distribution of the sample mean difference In testing the difference between two population means using two independent samples, the sampling distribution of the sample mean difference   is normal if the sample sizes are both greater than 30.<div style=padding-top: 35px> is normal if the sample sizes are both greater than 30.
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The expected value of The expected value of   is   .<div style=padding-top: 35px> is The expected value of   is   .<div style=padding-top: 35px> .
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In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference   if the populations are normal with equal variances.<div style=padding-top: 35px> if the populations are normal with equal variances.
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The variance of The variance of   is   .<div style=padding-top: 35px> is The variance of   is   .<div style=padding-top: 35px> .
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When we test for differences between the means of two independent populations, we can only use a two-tailed test.
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The equal-variances test statistic of The equal-variances test statistic of   is Student t -distributed with n <sub>1</sub> + n <sub>2</sub> degrees of freedom, provided that the two populations are normal.<div style=padding-top: 35px> is Student t -distributed with n 1 + n 2 degrees of freedom, provided that the two populations are normal.
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In testing the difference between the means of two normally distributed populations, the number of degrees of freedom associated with the unequal-variances t- test statistic usually results in a non-integer number. It is recommended that you:

A)round to the nearest integer.
B)change the sample sizes until the number of degrees of freedom becomes an integer.
C)assume that the population variances are equal, and then use df = n 1 + n 2 - 2.
D)None of these choices.
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When testing <strong>When testing   vs.   , the observed value of the z -score was found to be - 2.15. Then, the p -value for this test would be</strong> A).0158 B).0316 C).9842 D).9684 <div style=padding-top: 35px> vs. <strong>When testing   vs.   , the observed value of the z -score was found to be - 2.15. Then, the p -value for this test would be</strong> A).0158 B).0316 C).9842 D).9684 <div style=padding-top: 35px> , the observed value of the z -score was found to be - 2.15. Then, the p -value for this test would be

A).0158
B).0316
C).9842
D).9684
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If there are 10 pairs of data in a matched pairs experiment, the degrees of freedom for the corresponding t -test is 18.
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Two independent samples of sizes 20 and 30 are randomly selected from two normally distributed populations. Assume that the population variances are unknown but equal. In order to test the difference between the population means, <strong>Two independent samples of sizes 20 and 30 are randomly selected from two normally distributed populations. Assume that the population variances are unknown but equal. In order to test the difference between the population means,   , the sampling distribution of the sample mean difference,   , is:</strong> A)normal. B)Student -t with 50 degrees of freedom. C)Student -t with 48 degrees of freedom. D)None of these choices. <div style=padding-top: 35px> , the sampling distribution of the sample mean difference, <strong>Two independent samples of sizes 20 and 30 are randomly selected from two normally distributed populations. Assume that the population variances are unknown but equal. In order to test the difference between the population means,   , the sampling distribution of the sample mean difference,   , is:</strong> A)normal. B)Student -t with 50 degrees of freedom. C)Student -t with 48 degrees of freedom. D)None of these choices. <div style=padding-top: 35px> , is:

A)normal.
B)Student -t with 50 degrees of freedom.
C)Student -t with 48 degrees of freedom.
D)None of these choices.
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The number of degrees of freedom associated with the t -test, when the data are gathered from a matched pairs experiment with 8 pairs, is 7.
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The expected value of the difference of two sample means equals the difference of the corresponding population means when:

A)the populations are normally distributed.
B)the samples are independent.
C)the populations are approximately normal and the sample sizes are large.
D)All of these choices are true.
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In comparing two population means of interval data, we must decide whether the samples are independent (in which case the parameter of interest is In comparing two population means of interval data, we must decide whether the samples are independent (in which case the parameter of interest is   )or matched pairs (in which case the parameter is m <sub>D</sub> )in order to select the correct test statistic.<div style=padding-top: 35px> )or matched pairs (in which case the parameter is m D )in order to select the correct test statistic.
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The quantity <strong>The quantity   is called the pooled variance estimate of the common variance of two unknown but equal population variances. It is the weighted average of the two sample variances, where the weights represent the:</strong> A)sample variances. B)sample standard deviations. C)degrees of freedom for each sample. D)None of these choices. <div style=padding-top: 35px> is called the pooled variance estimate of the common variance of two unknown but equal population variances. It is the weighted average of the two sample variances, where the weights represent the:

A)sample variances.
B)sample standard deviations.
C)degrees of freedom for each sample.
D)None of these choices.
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Two independent samples of sizes 40 and 50 are randomly selected from two populations to test the difference between the population means <strong>Two independent samples of sizes 40 and 50 are randomly selected from two populations to test the difference between the population means   . Assume the population variances are known. The sampling distribution of the sample mean difference   is:</strong> A)normally distributed. B)approximately normal. C)Student t- distributed with 88 degrees of freedom. D)None of these choices. <div style=padding-top: 35px> . Assume the population variances are known. The sampling distribution of the sample mean difference <strong>Two independent samples of sizes 40 and 50 are randomly selected from two populations to test the difference between the population means   . Assume the population variances are known. The sampling distribution of the sample mean difference   is:</strong> A)normally distributed. B)approximately normal. C)Student t- distributed with 88 degrees of freedom. D)None of these choices. <div style=padding-top: 35px> is:

A)normally distributed.
B)approximately normal.
C)Student t- distributed with 88 degrees of freedom.
D)None of these choices.
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In testing for the differences between the means of two independent populations where the variances in each population are unknown but assumed equal, the degrees of freedom is:

A)n 1 + n 2
B)n 1 + n 2 - 2
C)n 1 + n 2 - 1
D)None of these choices
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Two independent samples of sizes 25 and 35 are randomly selected from two normal populations with equal variances (assumed to be unknown). In order to test the difference between the population means, the test statistic is:

A)a standard normal random variable.
B)approximately standard normal random variable.
C)Student t- distributed with 58 degrees of freedom.
D)Student t- distributed with 33 degrees of freedom.
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In constructing a confidence interval estimate for the difference between the means of two independent normally distributed populations, we:

A)pool the sample variances when the unknown population variances are equal.
B)pool the sample variances when the population variances are known and equal.
C)pool the sample variances when the population means are equal.
D)never pool the sample variances.
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If we are testing for the difference between the means of two independent populations with equal variances, samples of n 1 = 15 and n 2 = 15 are taken, then the number of degrees of freedom is equal to

A)13
B)14
C)28
D)29
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In testing the difference between two population means for which the population variances are unknown and not assumed to be equal, two independent samples are drawn from the populations. Which of the following tests is appropriate?

A)z -test
B)pooled-variances t -test
C)unequal variances t -test
D)None of these choices.
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When comparing two population means using data that are gathered from a matched pairs experiment, the test statistic for m D is Student t -distributed with v = nD - 1 degrees of freedom, provided that the differences are normally distributed.
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In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference <strong>In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference   if:</strong> A)the sample sizes are both large. B)the populations are normal with equal variances. C)the populations are non-normal with unequal variances. D)All of these choices are true. <div style=padding-top: 35px> if:

A)the sample sizes are both large.
B)the populations are normal with equal variances.
C)the populations are non-normal with unequal variances.
D)All of these choices are true.
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In testing the difference between the means of two normal populations using two independent samples when the population variances are unequal, the sampling distribution of the resulting statistic is:

A)normal.
B)Student- t .
C)approximately normal.
D)approximately Student- t .
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A Marine boot camp instructor recorded the time in which each of 15 recruits completed an obstacle course both before and after basic training. To test whether any improvement occurred, the instructor would use a t -distribution with 15 degrees of freedom.
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Given the information: <strong>Given the information:   the number of degrees of freedom that should be used in the pooled variance t -test is:</strong> A)40 B)38 C)15 D)25 <div style=padding-top: 35px> the number of degrees of freedom that should be used in the pooled variance t -test is:

A)40
B)38
C)15
D)25
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The t -test for the difference between the means of two independent populations assumes that the respective:

A)sample sizes are equal.
B)populations are normal.
C)means are equal.
D)All of these choices are true.
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The test for the mean difference in a matched pairs design requires the differences to have a(n)____________________ distribution.
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The degrees of freedom for a test of the mean of the paired differences is the number of ____________________ minus ____________________.
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____________________ samples are those for which the selection process for one is not related to the selection process for the other.
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A test is being conducted to test the difference between two population means using data that are gathered from a matched pairs experiment. If the paired differences are normal, then the distribution used for testing is the:

A)normal distribution.
B)binomial distribution.
C)Student t -distribution.
D)F -distribution.
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The unequal-variances test statistic of The unequal-variances test statistic of   has an approximate ____________________ distribution with n <sub>1</sub> + n <sub>2</sub> - 2 degrees of freedom.<div style=padding-top: 35px> has an approximate ____________________ distribution with n 1 + n 2 - 2 degrees of freedom.
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The pooled-variances t -test is used when the two population variances are ____________________.
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The number of degrees of freedom associated with the t -test, when the data are gathered from a matched pairs experiment with 10 pairs, is:

A)10
B)20
C)9
D)18
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The symbol <strong>The symbol   refers to:</strong> A)the difference in the means of two independent populations. B)one matched pairs difference. C)the mean difference in the pairs of observations. D)None of these choices. <div style=padding-top: 35px> refers to:

A)the difference in the means of two independent populations.
B)one matched pairs difference.
C)the mean difference in the pairs of observations.
D)None of these choices.
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A political analyst in Hawaii surveys a random sample of registered Democrats and compares the results with those obtained from a random sample of registered Republicans. This would be an example of:

A)independent samples.
B)dependent samples.
C)independent samples only if the sample sizes are equal.
D)dependent samples only if the sample sizes are equal.
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A political analyst in Iowa surveys a random sample of registered Democrats and compares the results with those obtained from a random sample of registered Republicans. This would be an example of ____________________ samples.
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In testing for a mean difference the null hypothesis is:

A) <strong>In testing for a mean difference the null hypothesis is:</strong> A)   B)   C)   D)None of these choices. <div style=padding-top: 35px>
B) <strong>In testing for a mean difference the null hypothesis is:</strong> A)   B)   C)   D)None of these choices. <div style=padding-top: 35px>
C) <strong>In testing for a mean difference the null hypothesis is:</strong> A)   B)   C)   D)None of these choices. <div style=padding-top: 35px>
D)None of these choices.
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When two population variances are ____________________ we estimate each population variance with its sample variance. The test statistic of When two population variances are ____________________ we estimate each population variance with its sample variance. The test statistic of   is approximately Student t -distributed with n <sub>1</sub> + n <sub>2</sub> - 2 degrees of freedom.<div style=padding-top: 35px> is approximately Student t -distributed with n 1 + n 2 - 2 degrees of freedom.
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Suppose we randomly selected 250 people, and on the basis of their responses to a survey we assigned them to one of two groups: high-risk group and low-risk group. We then recorded the blood pressure for the members of each group. Such data are called:

A)observational.
B)experimental.
C)matched.
D)None of these choices.
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When the population variances are unknown and unequal, we estimate each population variance with its ____________________ variance.
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In testing for differences between the means of two independent populations the null hypothesis is:

A) <strong>In testing for differences between the means of two independent populations the null hypothesis is:</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>In testing for differences between the means of two independent populations the null hypothesis is:</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>In testing for differences between the means of two independent populations the null hypothesis is:</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>In testing for differences between the means of two independent populations the null hypothesis is:</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
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Two measurements from the same individuals is an example of data collected from a(n)____________________ experiment.
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If some natural relationship exists between each pair of observations that provides a logical reason to compare the first observation of sample 1 with the first observation of sample 2, the second observation of sample 1 with the second observation of sample 2, and so on, the samples are referred to as:

A)matched pairs.
B)independent samples.
C)nonrandom samples.
D)None of these choices.
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When the sample sizes are equal, the pooled variance of the two samples is the ____________________ of the two sample variances.
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The pooled variance estimator is the ____________________ average of the two sample variances.
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The equal-variances test statistic of The equal-variances test statistic of   is Student t -distributed with n <sub>1</sub> + n <sub>2</sub> - 2 degrees of freedom provided that the two populations are ____________________.<div style=padding-top: 35px> is Student t -distributed with n 1 + n 2 - 2 degrees of freedom provided that the two populations are ____________________.
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Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained: Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained:   . {Aptitude Test Scores Narrative} Test at the 5% significance level to determine whether we can infer that the two population means differ.<div style=padding-top: 35px> . {Aptitude Test Scores Narrative} Test at the 5% significance level to determine whether we can infer that the two population means differ.
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Undergraduates' Test Scores 35 undergraduate students who completed two years of college were asked to take a basic mathematics test. The mean and standard deviation of their scores were 75.1 and 12.8, respectively. In a random sample of 50 students who only completed high school, the mean and standard deviation of the test scores were 72.1 and 14.6, respectively {Undergraduates' Test Scores Narrative} Can we infer at the 10% significance level that a difference exists between the two groups?
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Promotional Campaigns The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns "20% off" coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s)in one restaurant during the campaign and during the week after the campaign ends. The data is shown below.
Day Sales During Campaign Sales After Campaign Promotional Campaigns The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns 20% off coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s)in one restaurant during the campaign and during the week after the campaign ends. The data is shown below. Day Sales During Campaign Sales After Campaign   {Promotional Campaigns Narrative} Can they infer at the 5% significance level that sales increase during the campaign?<div style=padding-top: 35px> {Promotional Campaigns Narrative} Can they infer at the 5% significance level that sales increase during the campaign?
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The service manager of a car dealer wants to determine if owners of new cars (two years old or less)tune up their cars more frequently than owners of older cars (more than two years old). From his records he takes a random sample of ten new cars and ten older cars and determines the number of times the cars were tuned up in the last 12 months. The data follow. Do these data allow the service station owner to infer at the 10% significance level that new car owners tune up their cars more frequently than older car owners? The service manager of a car dealer wants to determine if owners of new cars (two years old or less)tune up their cars more frequently than owners of older cars (more than two years old). From his records he takes a random sample of ten new cars and ten older cars and determines the number of times the cars were tuned up in the last 12 months. The data follow. Do these data allow the service station owner to infer at the 10% significance level that new car owners tune up their cars more frequently than older car owners?  <div style=padding-top: 35px>
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If you are testing to see if a weight loss program is working, and you subtract the weights before - after for a group of 10 people, the alternative hypothesis is that the mean difference is ____________________ 0.
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In a matched pairs experiment the parameter of interest is the ____________________ of the population of ____________________.
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Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained: Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained:   . {Aptitude Test  Scores Narrative} Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> . {Aptitude Test  Scores Narrative} Estimate with 95% confidence the difference between the two population means.
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Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below   {Additives Narrative} Determine the rejection region at a = .05 and write the proper conclusion.<div style=padding-top: 35px> {Additives Narrative} Determine the rejection region at a = .05 and write the proper conclusion.
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Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below   {Additives Narrative} Assume population variances are equal. Calculate the pooled variance and the value of the test statistic.<div style=padding-top: 35px> {Additives Narrative} Assume population variances are equal. Calculate the pooled variance and the value of the test statistic.
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In testing the hypothesis In testing the hypothesis   vs.   , two random samples from two normal populations produced the following statistics:   . What conclusion can we draw at the 1% significance level?<div style=padding-top: 35px> vs. In testing the hypothesis   vs.   , two random samples from two normal populations produced the following statistics:   . What conclusion can we draw at the 1% significance level?<div style=padding-top: 35px> , two random samples from two normal populations produced the following statistics: In testing the hypothesis   vs.   , two random samples from two normal populations produced the following statistics:   . What conclusion can we draw at the 1% significance level?<div style=padding-top: 35px> . What conclusion can we draw at the 1% significance level?
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Starting Salary In testing the hypotheses Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?<div style=padding-top: 35px> vs. Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?<div style=padding-top: 35px> , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s): Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?<div style=padding-top: 35px> , and Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?<div style=padding-top: 35px> . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?
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Starting Salary In testing the hypotheses Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.<div style=padding-top: 35px> vs. Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.<div style=padding-top: 35px> , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s): Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.<div style=padding-top: 35px> , and Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.<div style=padding-top: 35px> . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.
Question
Starting Salary In testing the hypotheses Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> vs. Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s): Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> , and Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.
Question
If you are testing to see if a weight loss program is working, and you subtract the weights after - before for a group of 10 people, the alternative hypothesis is that the mean difference is ____________________ 0.
Question
Engine Wear To compare the wearing of two types of automobile engines, 1 and 2, an experimenter chose to "pair" the measurements, comparing the wear for the two types of engines on each of 7 automobiles, as shown below. Engine Wear To compare the wearing of two types of automobile engines, 1 and 2, an experimenter chose to pair the measurements, comparing the wear for the two types of engines on each of 7 automobiles, as shown below.   (Engine Wear Narrative} Determine whether these data are sufficient to infer at the 10% significance level that the two types of engines wear differently.<div style=padding-top: 35px> (Engine Wear Narrative} Determine whether these data are sufficient to infer at the 10% significance level that the two types of engines wear differently.
Question
Undergraduates' Test Scores 35 undergraduate students who completed two years of college were asked to take a basic mathematics test. The mean and standard deviation of their scores were 75.1 and 12.8, respectively. In a random sample of 50 students who only completed high school, the mean and standard deviation of the test scores were 72.1 and 14.6, respectively {Undergraduates' Test Scores Narrative} Estimate with 90% confidence the difference in mean scores between the two groups of students.
Question
Promotional Campaigns The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns "20% off" coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s)in one restaurant during the campaign and during the week after the campaign ends. The data is shown below.
Day Sales During Campaign Sales After Campaign Promotional Campaigns The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns 20% off coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s)in one restaurant during the campaign and during the week after the campaign ends. The data is shown below. Day Sales During Campaign Sales After Campaign   {Promotional Campaigns Narrative} Estimate with 95% confidence the mean difference and interpret.<div style=padding-top: 35px> {Promotional Campaigns Narrative} Estimate with 95% confidence the mean difference and interpret.
Question
Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained: Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained:   . {Aptitude Test  Scores Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.<div style=padding-top: 35px> . {Aptitude Test  Scores Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.
Question
Engine Wear To compare the wearing of two types of automobile engines, 1 and 2, an experimenter chose to "pair" the measurements, comparing the wear for the two types of engines on each of 7 automobiles, as shown below. Engine Wear To compare the wearing of two types of automobile engines, 1 and 2, an experimenter chose to pair the measurements, comparing the wear for the two types of engines on each of 7 automobiles, as shown below.   {Engine Wear Narrative} Estimate with 90% confidence the mean difference and interpret.<div style=padding-top: 35px> {Engine Wear Narrative} Estimate with 90% confidence the mean difference and interpret.
Question
Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below   {Additives Narrative} State the null and alternative hypotheses to determine if the average number of hours until spoilage begins differs for the additives A and B.<div style=padding-top: 35px> {Additives Narrative} State the null and alternative hypotheses to determine if the average number of hours until spoilage begins differs for the additives A and B.
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Deck 12: Inference About Comparing Two Populat
1
Independent samples are those for which the selection process for one is not related to the selection process for the other.
True
2
In comparing the difference in means with a matched pairs experiment, the variable under consideration is In comparing the difference in means with a matched pairs experiment, the variable under consideration is   , where the subscript D refers to the difference. , where the subscript D refers to the difference.
True
3
A political analyst in Iowa surveys a random sample of registered Republicans and compares the results with those obtained from a random sample of registered Democrats . This would be an example of two independent samples.
True
4
The sampling distribution of The sampling distribution of   is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes n <sub>1</sub> and n <sub>2</sub> are large. is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes n 1 and n 2 are large.
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5
The pooled-variances t -test requires that the two population variances need not be the same.
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6
A matched pairs experiment decreases variability (compared to two independent samples).
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7
Two samples of sizes 25 and 20 are independently drawn from two normal populations, where the unknown population variances are assumed to be equal. The number of degrees of freedom of the equal-variances t -test statistic is 44.
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8
The best estimator of the difference between two population means The best estimator of the difference between two population means   is the difference between two sample means   . is the difference between two sample means The best estimator of the difference between two population means   is the difference between two sample means   . .
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9
A calculus professor wanted to test whether the grades on calculus test were the same for upper and lower classmen. The professor took a random sample of size 12 from each group. For this situation, the professor should use a matched pairs t -test.
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10
When the population variances are unequal, we estimate each population variance with its sample variance. Hence, the unequal-variances test statistic of When the population variances are unequal, we estimate each population variance with its sample variance. Hence, the unequal-variances test statistic of   is approximately Student t -distributed with n <sub>1</sub> + n <sub>2</sub> - 2 degrees of freedom. is approximately Student t -distributed with n 1 + n 2 - 2 degrees of freedom.
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11
When the sample sizes are equal, the pooled variance of the two samples is the average of the two sample variances.
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12
Unless we can conclude that the population variances are equal, we cannot use the pooled variance estimate.
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13
Two measurements from the same individuals is an example of data collected from a matched pairs experiment.
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14
Both the equal-variances and unequal variances test statistic and confidence interval estimator of Both the equal-variances and unequal variances test statistic and confidence interval estimator of   require that the two populations be normally distributed. require that the two populations be normally distributed.
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15
In testing the difference between two population means using two independent samples, the sampling distribution of the sample mean difference In testing the difference between two population means using two independent samples, the sampling distribution of the sample mean difference   is normal if the sample sizes are both greater than 30. is normal if the sample sizes are both greater than 30.
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16
The expected value of The expected value of   is   . is The expected value of   is   . .
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17
In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference   if the populations are normal with equal variances. if the populations are normal with equal variances.
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18
The variance of The variance of   is   . is The variance of   is   . .
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19
When we test for differences between the means of two independent populations, we can only use a two-tailed test.
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20
The equal-variances test statistic of The equal-variances test statistic of   is Student t -distributed with n <sub>1</sub> + n <sub>2</sub> degrees of freedom, provided that the two populations are normal. is Student t -distributed with n 1 + n 2 degrees of freedom, provided that the two populations are normal.
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21
In testing the difference between the means of two normally distributed populations, the number of degrees of freedom associated with the unequal-variances t- test statistic usually results in a non-integer number. It is recommended that you:

A)round to the nearest integer.
B)change the sample sizes until the number of degrees of freedom becomes an integer.
C)assume that the population variances are equal, and then use df = n 1 + n 2 - 2.
D)None of these choices.
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22
When testing <strong>When testing   vs.   , the observed value of the z -score was found to be - 2.15. Then, the p -value for this test would be</strong> A).0158 B).0316 C).9842 D).9684 vs. <strong>When testing   vs.   , the observed value of the z -score was found to be - 2.15. Then, the p -value for this test would be</strong> A).0158 B).0316 C).9842 D).9684 , the observed value of the z -score was found to be - 2.15. Then, the p -value for this test would be

A).0158
B).0316
C).9842
D).9684
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23
If there are 10 pairs of data in a matched pairs experiment, the degrees of freedom for the corresponding t -test is 18.
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24
Two independent samples of sizes 20 and 30 are randomly selected from two normally distributed populations. Assume that the population variances are unknown but equal. In order to test the difference between the population means, <strong>Two independent samples of sizes 20 and 30 are randomly selected from two normally distributed populations. Assume that the population variances are unknown but equal. In order to test the difference between the population means,   , the sampling distribution of the sample mean difference,   , is:</strong> A)normal. B)Student -t with 50 degrees of freedom. C)Student -t with 48 degrees of freedom. D)None of these choices. , the sampling distribution of the sample mean difference, <strong>Two independent samples of sizes 20 and 30 are randomly selected from two normally distributed populations. Assume that the population variances are unknown but equal. In order to test the difference between the population means,   , the sampling distribution of the sample mean difference,   , is:</strong> A)normal. B)Student -t with 50 degrees of freedom. C)Student -t with 48 degrees of freedom. D)None of these choices. , is:

A)normal.
B)Student -t with 50 degrees of freedom.
C)Student -t with 48 degrees of freedom.
D)None of these choices.
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25
The number of degrees of freedom associated with the t -test, when the data are gathered from a matched pairs experiment with 8 pairs, is 7.
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26
The expected value of the difference of two sample means equals the difference of the corresponding population means when:

A)the populations are normally distributed.
B)the samples are independent.
C)the populations are approximately normal and the sample sizes are large.
D)All of these choices are true.
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27
In comparing two population means of interval data, we must decide whether the samples are independent (in which case the parameter of interest is In comparing two population means of interval data, we must decide whether the samples are independent (in which case the parameter of interest is   )or matched pairs (in which case the parameter is m <sub>D</sub> )in order to select the correct test statistic. )or matched pairs (in which case the parameter is m D )in order to select the correct test statistic.
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28
The quantity <strong>The quantity   is called the pooled variance estimate of the common variance of two unknown but equal population variances. It is the weighted average of the two sample variances, where the weights represent the:</strong> A)sample variances. B)sample standard deviations. C)degrees of freedom for each sample. D)None of these choices. is called the pooled variance estimate of the common variance of two unknown but equal population variances. It is the weighted average of the two sample variances, where the weights represent the:

A)sample variances.
B)sample standard deviations.
C)degrees of freedom for each sample.
D)None of these choices.
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29
Two independent samples of sizes 40 and 50 are randomly selected from two populations to test the difference between the population means <strong>Two independent samples of sizes 40 and 50 are randomly selected from two populations to test the difference between the population means   . Assume the population variances are known. The sampling distribution of the sample mean difference   is:</strong> A)normally distributed. B)approximately normal. C)Student t- distributed with 88 degrees of freedom. D)None of these choices. . Assume the population variances are known. The sampling distribution of the sample mean difference <strong>Two independent samples of sizes 40 and 50 are randomly selected from two populations to test the difference between the population means   . Assume the population variances are known. The sampling distribution of the sample mean difference   is:</strong> A)normally distributed. B)approximately normal. C)Student t- distributed with 88 degrees of freedom. D)None of these choices. is:

A)normally distributed.
B)approximately normal.
C)Student t- distributed with 88 degrees of freedom.
D)None of these choices.
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30
In testing for the differences between the means of two independent populations where the variances in each population are unknown but assumed equal, the degrees of freedom is:

A)n 1 + n 2
B)n 1 + n 2 - 2
C)n 1 + n 2 - 1
D)None of these choices
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31
Two independent samples of sizes 25 and 35 are randomly selected from two normal populations with equal variances (assumed to be unknown). In order to test the difference between the population means, the test statistic is:

A)a standard normal random variable.
B)approximately standard normal random variable.
C)Student t- distributed with 58 degrees of freedom.
D)Student t- distributed with 33 degrees of freedom.
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32
In constructing a confidence interval estimate for the difference between the means of two independent normally distributed populations, we:

A)pool the sample variances when the unknown population variances are equal.
B)pool the sample variances when the population variances are known and equal.
C)pool the sample variances when the population means are equal.
D)never pool the sample variances.
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33
If we are testing for the difference between the means of two independent populations with equal variances, samples of n 1 = 15 and n 2 = 15 are taken, then the number of degrees of freedom is equal to

A)13
B)14
C)28
D)29
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34
In testing the difference between two population means for which the population variances are unknown and not assumed to be equal, two independent samples are drawn from the populations. Which of the following tests is appropriate?

A)z -test
B)pooled-variances t -test
C)unequal variances t -test
D)None of these choices.
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35
When comparing two population means using data that are gathered from a matched pairs experiment, the test statistic for m D is Student t -distributed with v = nD - 1 degrees of freedom, provided that the differences are normally distributed.
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36
In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference <strong>In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference   if:</strong> A)the sample sizes are both large. B)the populations are normal with equal variances. C)the populations are non-normal with unequal variances. D)All of these choices are true. if:

A)the sample sizes are both large.
B)the populations are normal with equal variances.
C)the populations are non-normal with unequal variances.
D)All of these choices are true.
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37
In testing the difference between the means of two normal populations using two independent samples when the population variances are unequal, the sampling distribution of the resulting statistic is:

A)normal.
B)Student- t .
C)approximately normal.
D)approximately Student- t .
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38
A Marine boot camp instructor recorded the time in which each of 15 recruits completed an obstacle course both before and after basic training. To test whether any improvement occurred, the instructor would use a t -distribution with 15 degrees of freedom.
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39
Given the information: <strong>Given the information:   the number of degrees of freedom that should be used in the pooled variance t -test is:</strong> A)40 B)38 C)15 D)25 the number of degrees of freedom that should be used in the pooled variance t -test is:

A)40
B)38
C)15
D)25
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40
The t -test for the difference between the means of two independent populations assumes that the respective:

A)sample sizes are equal.
B)populations are normal.
C)means are equal.
D)All of these choices are true.
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41
The test for the mean difference in a matched pairs design requires the differences to have a(n)____________________ distribution.
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42
The degrees of freedom for a test of the mean of the paired differences is the number of ____________________ minus ____________________.
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43
____________________ samples are those for which the selection process for one is not related to the selection process for the other.
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44
A test is being conducted to test the difference between two population means using data that are gathered from a matched pairs experiment. If the paired differences are normal, then the distribution used for testing is the:

A)normal distribution.
B)binomial distribution.
C)Student t -distribution.
D)F -distribution.
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45
The unequal-variances test statistic of The unequal-variances test statistic of   has an approximate ____________________ distribution with n <sub>1</sub> + n <sub>2</sub> - 2 degrees of freedom. has an approximate ____________________ distribution with n 1 + n 2 - 2 degrees of freedom.
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46
The pooled-variances t -test is used when the two population variances are ____________________.
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47
The number of degrees of freedom associated with the t -test, when the data are gathered from a matched pairs experiment with 10 pairs, is:

A)10
B)20
C)9
D)18
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48
The symbol <strong>The symbol   refers to:</strong> A)the difference in the means of two independent populations. B)one matched pairs difference. C)the mean difference in the pairs of observations. D)None of these choices. refers to:

A)the difference in the means of two independent populations.
B)one matched pairs difference.
C)the mean difference in the pairs of observations.
D)None of these choices.
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49
A political analyst in Hawaii surveys a random sample of registered Democrats and compares the results with those obtained from a random sample of registered Republicans. This would be an example of:

A)independent samples.
B)dependent samples.
C)independent samples only if the sample sizes are equal.
D)dependent samples only if the sample sizes are equal.
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50
A political analyst in Iowa surveys a random sample of registered Democrats and compares the results with those obtained from a random sample of registered Republicans. This would be an example of ____________________ samples.
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51
In testing for a mean difference the null hypothesis is:

A) <strong>In testing for a mean difference the null hypothesis is:</strong> A)   B)   C)   D)None of these choices.
B) <strong>In testing for a mean difference the null hypothesis is:</strong> A)   B)   C)   D)None of these choices.
C) <strong>In testing for a mean difference the null hypothesis is:</strong> A)   B)   C)   D)None of these choices.
D)None of these choices.
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52
When two population variances are ____________________ we estimate each population variance with its sample variance. The test statistic of When two population variances are ____________________ we estimate each population variance with its sample variance. The test statistic of   is approximately Student t -distributed with n <sub>1</sub> + n <sub>2</sub> - 2 degrees of freedom. is approximately Student t -distributed with n 1 + n 2 - 2 degrees of freedom.
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53
Suppose we randomly selected 250 people, and on the basis of their responses to a survey we assigned them to one of two groups: high-risk group and low-risk group. We then recorded the blood pressure for the members of each group. Such data are called:

A)observational.
B)experimental.
C)matched.
D)None of these choices.
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54
When the population variances are unknown and unequal, we estimate each population variance with its ____________________ variance.
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55
In testing for differences between the means of two independent populations the null hypothesis is:

A) <strong>In testing for differences between the means of two independent populations the null hypothesis is:</strong> A)   B)   C)   D)
B) <strong>In testing for differences between the means of two independent populations the null hypothesis is:</strong> A)   B)   C)   D)
C) <strong>In testing for differences between the means of two independent populations the null hypothesis is:</strong> A)   B)   C)   D)
D) <strong>In testing for differences between the means of two independent populations the null hypothesis is:</strong> A)   B)   C)   D)
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56
Two measurements from the same individuals is an example of data collected from a(n)____________________ experiment.
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57
If some natural relationship exists between each pair of observations that provides a logical reason to compare the first observation of sample 1 with the first observation of sample 2, the second observation of sample 1 with the second observation of sample 2, and so on, the samples are referred to as:

A)matched pairs.
B)independent samples.
C)nonrandom samples.
D)None of these choices.
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58
When the sample sizes are equal, the pooled variance of the two samples is the ____________________ of the two sample variances.
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59
The pooled variance estimator is the ____________________ average of the two sample variances.
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60
The equal-variances test statistic of The equal-variances test statistic of   is Student t -distributed with n <sub>1</sub> + n <sub>2</sub> - 2 degrees of freedom provided that the two populations are ____________________. is Student t -distributed with n 1 + n 2 - 2 degrees of freedom provided that the two populations are ____________________.
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61
Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained: Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained:   . {Aptitude Test Scores Narrative} Test at the 5% significance level to determine whether we can infer that the two population means differ. . {Aptitude Test Scores Narrative} Test at the 5% significance level to determine whether we can infer that the two population means differ.
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62
Undergraduates' Test Scores 35 undergraduate students who completed two years of college were asked to take a basic mathematics test. The mean and standard deviation of their scores were 75.1 and 12.8, respectively. In a random sample of 50 students who only completed high school, the mean and standard deviation of the test scores were 72.1 and 14.6, respectively {Undergraduates' Test Scores Narrative} Can we infer at the 10% significance level that a difference exists between the two groups?
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63
Promotional Campaigns The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns "20% off" coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s)in one restaurant during the campaign and during the week after the campaign ends. The data is shown below.
Day Sales During Campaign Sales After Campaign Promotional Campaigns The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns 20% off coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s)in one restaurant during the campaign and during the week after the campaign ends. The data is shown below. Day Sales During Campaign Sales After Campaign   {Promotional Campaigns Narrative} Can they infer at the 5% significance level that sales increase during the campaign? {Promotional Campaigns Narrative} Can they infer at the 5% significance level that sales increase during the campaign?
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64
The service manager of a car dealer wants to determine if owners of new cars (two years old or less)tune up their cars more frequently than owners of older cars (more than two years old). From his records he takes a random sample of ten new cars and ten older cars and determines the number of times the cars were tuned up in the last 12 months. The data follow. Do these data allow the service station owner to infer at the 10% significance level that new car owners tune up their cars more frequently than older car owners? The service manager of a car dealer wants to determine if owners of new cars (two years old or less)tune up their cars more frequently than owners of older cars (more than two years old). From his records he takes a random sample of ten new cars and ten older cars and determines the number of times the cars were tuned up in the last 12 months. The data follow. Do these data allow the service station owner to infer at the 10% significance level that new car owners tune up their cars more frequently than older car owners?
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65
If you are testing to see if a weight loss program is working, and you subtract the weights before - after for a group of 10 people, the alternative hypothesis is that the mean difference is ____________________ 0.
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66
In a matched pairs experiment the parameter of interest is the ____________________ of the population of ____________________.
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67
Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained: Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained:   . {Aptitude Test  Scores Narrative} Estimate with 95% confidence the difference between the two population means. . {Aptitude Test  Scores Narrative} Estimate with 95% confidence the difference between the two population means.
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68
Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below   {Additives Narrative} Determine the rejection region at a = .05 and write the proper conclusion. {Additives Narrative} Determine the rejection region at a = .05 and write the proper conclusion.
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69
Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below   {Additives Narrative} Assume population variances are equal. Calculate the pooled variance and the value of the test statistic. {Additives Narrative} Assume population variances are equal. Calculate the pooled variance and the value of the test statistic.
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70
In testing the hypothesis In testing the hypothesis   vs.   , two random samples from two normal populations produced the following statistics:   . What conclusion can we draw at the 1% significance level? vs. In testing the hypothesis   vs.   , two random samples from two normal populations produced the following statistics:   . What conclusion can we draw at the 1% significance level? , two random samples from two normal populations produced the following statistics: In testing the hypothesis   vs.   , two random samples from two normal populations produced the following statistics:   . What conclusion can we draw at the 1% significance level? . What conclusion can we draw at the 1% significance level?
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71
Starting Salary In testing the hypotheses Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level? vs. Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level? , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s): Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level? , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level? , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level? , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level? , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level? , and Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level? . (Assume the salaries have normal distributions.){Starting Salary Narrative} What conclusion can we draw at the 5% significance level?
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72
Starting Salary In testing the hypotheses Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05. vs. Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05. , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s): Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05. , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05. , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05. , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05. , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05. , and Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05. . (Assume the salaries have normal distributions.){Starting Salary Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.
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73
Starting Salary In testing the hypotheses Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means. vs. Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means. , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s): Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means. , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means. , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means. , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means. , Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means. , and Starting Salary In testing the hypotheses   vs.   , two random samples from two populations of college of business graduates majoring in global marketing and international business produced the following statistics regarding their starting salaries (in $1000s):   ,   ,   ,   ,   , and   . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means. . (Assume the salaries have normal distributions.){Starting Salary Narrative} Estimate with 95% confidence the difference between the two population means.
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74
If you are testing to see if a weight loss program is working, and you subtract the weights after - before for a group of 10 people, the alternative hypothesis is that the mean difference is ____________________ 0.
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75
Engine Wear To compare the wearing of two types of automobile engines, 1 and 2, an experimenter chose to "pair" the measurements, comparing the wear for the two types of engines on each of 7 automobiles, as shown below. Engine Wear To compare the wearing of two types of automobile engines, 1 and 2, an experimenter chose to pair the measurements, comparing the wear for the two types of engines on each of 7 automobiles, as shown below.   (Engine Wear Narrative} Determine whether these data are sufficient to infer at the 10% significance level that the two types of engines wear differently. (Engine Wear Narrative} Determine whether these data are sufficient to infer at the 10% significance level that the two types of engines wear differently.
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76
Undergraduates' Test Scores 35 undergraduate students who completed two years of college were asked to take a basic mathematics test. The mean and standard deviation of their scores were 75.1 and 12.8, respectively. In a random sample of 50 students who only completed high school, the mean and standard deviation of the test scores were 72.1 and 14.6, respectively {Undergraduates' Test Scores Narrative} Estimate with 90% confidence the difference in mean scores between the two groups of students.
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77
Promotional Campaigns The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns "20% off" coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s)in one restaurant during the campaign and during the week after the campaign ends. The data is shown below.
Day Sales During Campaign Sales After Campaign Promotional Campaigns The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns 20% off coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s)in one restaurant during the campaign and during the week after the campaign ends. The data is shown below. Day Sales During Campaign Sales After Campaign   {Promotional Campaigns Narrative} Estimate with 95% confidence the mean difference and interpret. {Promotional Campaigns Narrative} Estimate with 95% confidence the mean difference and interpret.
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78
Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained: Aptitude Test Scores Two random samples of 40 students were drawn independently from two populations of students. Assume their aptitude tests are normally distributed (total points = 100). The following statistics regarding their scores in an aptitude test were obtained:   . {Aptitude Test  Scores Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05. . {Aptitude Test  Scores Narrative} Explain how to use the 95% confidence interval to test the hypotheses at a = .05.
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79
Engine Wear To compare the wearing of two types of automobile engines, 1 and 2, an experimenter chose to "pair" the measurements, comparing the wear for the two types of engines on each of 7 automobiles, as shown below. Engine Wear To compare the wearing of two types of automobile engines, 1 and 2, an experimenter chose to pair the measurements, comparing the wear for the two types of engines on each of 7 automobiles, as shown below.   {Engine Wear Narrative} Estimate with 90% confidence the mean difference and interpret. {Engine Wear Narrative} Estimate with 90% confidence the mean difference and interpret.
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80
Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below Additives A food processor wants to compare two additives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with additive A and 16 are treated with additive B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below   {Additives Narrative} State the null and alternative hypotheses to determine if the average number of hours until spoilage begins differs for the additives A and B. {Additives Narrative} State the null and alternative hypotheses to determine if the average number of hours until spoilage begins differs for the additives A and B.
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