Deck 11: Estimation: Comparing Two Populations

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Question
The expected value of the difference of two sample means equals the difference of the corresponding population means:

A)only if the populations are normally distributed.
B)only if the samples are independent.
C)only if the populations are approximately normal and the sample sizes are large.
D)is always correct.
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Question
Two independent random samples of 25 observations each are drawn from two normal populations. The parameters of these populations are: Two independent random samples of 25 observations each are drawn from two normal populations. The parameters of these populations are:   Find the probability that the mean of sample 1 will exceed the mean of sample 2.<div style=padding-top: 35px> Find the probability that the mean of sample 1 will exceed the mean of sample 2.
Question
If two random samples of sizes <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> and <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> are selected independently from two populations with means <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> and <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> , then the mean of the sampling distribution of the sample mean difference, <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> , equals:

A) <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> + <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> .
B) <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> - <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> .
C) <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> / <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> .
D) <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <div style=padding-top: 35px> .:
Question
In constructing a confidence interval estimate for the difference between two population proportions, we:

A)pool the population proportions when the populations are normally distributed.
B)pool the population proportions when the population means are equal.
C)pool the population proportions when they are equal.
D)never pool the population proportions.
Question
If two random samples of sizes <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . <div style=padding-top: 35px> and <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . <div style=padding-top: 35px> are selected independently from two populations with variances <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . <div style=padding-top: 35px> and <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . <div style=padding-top: 35px> , then the standard error of the sampling distribution of the sample mean difference, <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . <div style=padding-top: 35px> , equals:

A) <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . <div style=padding-top: 35px> .
B) <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . <div style=padding-top: 35px> .
C) <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . <div style=padding-top: 35px> .
D) <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . <div style=padding-top: 35px> .
Question
We cannot estimate the difference between population means by estimating the mean difference μD,
when the data are produced by a matched pairs experiment.
Question
If two random samples of sizes 30 and 45 are selected independently from two non-normal populations with means of 53 and 57, then the mean of the sampling distribution of the sample mean difference, If two random samples of sizes 30 and 45 are selected independently from two non-normal populations with means of 53 and 57, then the mean of the sampling distribution of the sample mean difference,   , equals -4.<div style=padding-top: 35px> , equals -4.
Question
Which of the following statements is correct when estimating the difference between two population proportions p1 − p2?

A)We must take two independent samples.
B)We count the number of successes in each sample.
C)The sampling distribution of the difference of sample proportions is approximately normally distributed for large sample sizes.
D)All of these choices are correct.
Question
Suppose that the starting salaries of finance graduates from university A are normally distributed with a mean of $36 750 and a standard deviation of $5320. The starting salaries of finance graduates from university B are normally distributed with a mean of $34 625 and a standard deviation of $6540. If simple random samples of 50 finance graduates are selected from each university, what is the probability that the sample mean of university A graduates will exceed that of university B graduates?
Question
In order to draw inferences about p1 − p2, we take two independent samples − a sample of size n1 from population 1 and a sample of size n2 from population 2.
Question
Two independent random samples are drawn from two normal populations. The sample sizes are 20 and 25, respectively. The parameters of these populations are: Two independent random samples are drawn from two normal populations. The sample sizes are 20 and 25, respectively. The parameters of these populations are:   Find the probability that the difference between the two sample means   is between 25 and 35.<div style=padding-top: 35px> Find the probability that the difference between the two sample means Two independent random samples are drawn from two normal populations. The sample sizes are 20 and 25, respectively. The parameters of these populations are:   Find the probability that the difference between the two sample means   is between 25 and 35.<div style=padding-top: 35px> is between 25 and 35.
Question
If two populations are not known to be normally distributed, the sampling distribution of the sample mean difference, <strong>If two populations are not known to be normally distributed, the sampling distribution of the sample mean difference,   , will be:</strong> A)normally distributed only if both population sizes are greater than 30. B)normally distributed. C)normally distributed only if at least one of the sample sizes is greater than 30. D)approximately normally distributed. <div style=padding-top: 35px> , will be:

A)normally distributed only if both population sizes are greater than 30.
B)normally distributed.
C)normally distributed only if at least one of the sample sizes is greater than 30.
D)approximately normally distributed.
Question
When the two population variances are unequal, we cannot pool the data and produce a
common estimator. We must calculate s12 or s22 and use them to estimate σ12 and σ22 respectively.
Question
If two random samples of sizes <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . <div style=padding-top: 35px> and <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . <div style=padding-top: 35px> are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference, <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . <div style=padding-top: 35px> , is:

A)always non-normal.
B)always normal.
C)approximately normal only if <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . <div style=padding-top: 35px> and <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . <div style=padding-top: 35px> are both larger than 30.
D)approximately normal regardless of <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . <div style=padding-top: 35px> and <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . <div style=padding-top: 35px> .
Question
Which of the following best describes a matched pairs experiment?

A)An experiment in which each observation in one sample can be matched with an observation in another sample.
B)A matched pairs experiments means that the samples are not independent.
C)We estimate the difference between population means by estimating the mean difference when the data are produced by a matched pairs experiment.
D)All of these choices are correct.
Question
If two random samples, each of size 36, are selected independently from two populations with variances of 42 and 50, then the standard error of the sampling distribution of the sample mean difference, If two random samples, each of size 36, are selected independently from two populations with variances of 42 and 50, then the standard error of the sampling distribution of the sample mean difference,   , equals 2.5556.<div style=padding-top: 35px> , equals 2.5556.
Question
In constructing a confidence interval estimate for the difference between the means of two normally distributed populations, using two independent samples, 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.
Question
Two samples are selected at random from two independent normally distributed populations. Sample 1 has 49 observations and has a mean of 10 and a standard deviation of 5. Sample 2 has 36 observations and has a mean of 12 and a standard deviation of 3. The standard error of the sampling distribution of the sample mean difference, <strong>Two samples are selected at random from two independent normally distributed populations. Sample 1 has 49 observations and has a mean of 10 and a standard deviation of 5. Sample 2 has 36 observations and has a mean of 12 and a standard deviation of 3. The standard error of the sampling distribution of the sample mean difference,   , is:</strong> A)0.1853. B)0.7602. C)0.7331. D)0.8719. <div style=padding-top: 35px> , is:

A)0.1853.
B)0.7602.
C)0.7331.
D)0.8719.
Question
In constructing a 99% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are as follows: n1 = 28 <strong>In constructing a 99% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are as follows: n1 = 28   = 123 S1 = 8.5 N2 = 45   = 105 S2 = 12.4 The lower confidence limit is:</strong> A)24.485. B)11.515. C)13.116. D)22.884. <div style=padding-top: 35px> = 123
S1 = 8.5
N2 = 45 <strong>In constructing a 99% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are as follows: n1 = 28   = 123 S1 = 8.5 N2 = 45   = 105 S2 = 12.4 The lower confidence limit is:</strong> A)24.485. B)11.515. C)13.116. D)22.884. <div style=padding-top: 35px> = 105
S2 = 12.4
The lower confidence limit is:

A)24.485.
B)11.515.
C)13.116.
D)22.884.
Question
Suppose that the starting salaries of male workers are normally distributed with a mean of $56 000 and a standard deviation of $12 000. The starting salaries of female workers are normally distributed with a mean of $50 000 and a standard deviation of $10 000. A random sample of 50 male workers and a random sample of 40 female workers are selected.
a. What is the sampling distribution of the sample mean difference Suppose that the starting salaries of male workers are normally distributed with a mean of $56 000 and a standard deviation of $12 000. The starting salaries of female workers are normally distributed with a mean of $50 000 and a standard deviation of $10 000. A random sample of 50 male workers and a random sample of 40 female workers are selected. a. What is the sampling distribution of the sample mean difference   ? Explain. b. Find the expected value and the standard error of the sample mean difference. c. What is the probability that the sample mean salary of female workers will not exceed that of the male workers?<div style=padding-top: 35px> ? Explain.
b. Find the expected value and the standard error of the sample mean difference.
c. What is the probability that the sample mean salary of female workers will not exceed that of the male workers?
Question
Two random samples from two normal populations produced the following statistics:
n1 = 51, Two random samples from two normal populations produced the following statistics: n1 = 51,   = 35, s1 = 28. n2 = 40,   = 28, s2 = 10. Assume that the two population variances are different. Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> = 35, s1 = 28.
n2 = 40, Two random samples from two normal populations produced the following statistics: n1 = 51,   = 35, s1 = 28. n2 = 40,   = 28, s2 = 10. Assume that the two population variances are different. Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> = 28, s2 = 10.
Assume that the two population variances are different. Estimate with 95% confidence the difference between the two population means.
Question
A simple random sample of ten firms was asked how much money (in thousands of dollars) they spent on employee training programs this year and how much they plan to spend on these programs next year. The data are shown below. A simple random sample of ten firms was asked how much money (in thousands of dollars) they spent on employee training programs this year and how much they plan to spend on these programs next year. The data are shown below.   Assume that the populations of amount spent on employee training programs are normally distributed. a. Estimate with 95% confidence the mean difference. b. Briefly explain what the interval estimate in part a. tells you.<div style=padding-top: 35px> Assume that the populations of amount spent on employee training programs are normally distributed.
a. Estimate with 95% confidence the mean difference.
b. Briefly explain what the interval estimate in part a. tells you.
Question
A quality control inspector keeps a tally sheet of the numbers of acceptable and unacceptable products that come off two different production lines. The completed sheet is shown below. A quality control inspector keeps a tally sheet of the numbers of acceptable and unacceptable products that come off two different production lines. The completed sheet is shown below.   Estimate with 95% confidence the difference in population proportions.<div style=padding-top: 35px> Estimate with 95% confidence the difference in population proportions.
Question
Thirty-five employees who completed two years of tertiary education were asked to take a basic mathematics test. The mean and standard deviation of their marks were 75.1 and 12.8, respectively. In a random sample of 50 employees who only completed high school, the mean and standard deviation of the test marks were 72.1 and 14.6, respectively. Estimate with 90% confidence the difference in mean scores between the two groups of employees.
Question
The marketing manager of a pharmaceutical company believes that more females than males use its acne medicine. In a recent survey, 2500 teenagers were asked whether or not they use that particular product. The responses, categorised by gender, are summarised below. The marketing manager of a pharmaceutical company believes that more females than males use its acne medicine. In a recent survey, 2500 teenagers were asked whether or not they use that particular product. The responses, categorised by gender, are summarised below.   a. Estimate with 90% confidence the difference in the proportions of male and female users of the acne medicine. b. Describe what the interval estimate in part a. tells you.<div style=padding-top: 35px> a. Estimate with 90% confidence the difference in the proportions of male and female users of the acne medicine.
b. Describe what the interval estimate in part a. tells you.
Question
A political poll taken immediately prior to a state election reveals that 158 out of 250 male voters and 105 out of 200 female voters intend to vote for the Independent candidate. Estimate with 95% confidence the difference between the proportions of male and female voters who intend to vote for the Independent candidate.
Question
Ten functionally illiterate adults were given an experimental one-week crash course in reading. Each of the 10 was given a reading test prior to the course and another test after the course. The results are shown below. Ten functionally illiterate adults were given an experimental one-week crash course in reading. Each of the 10 was given a reading test prior to the course and another test after the course. The results are shown below.   a. Estimate the mean improvement with 95% confidence. b. Briefly describe what the interval estimate in part a. tells you.<div style=padding-top: 35px> a. Estimate the mean improvement with 95% confidence.
b. Briefly describe what the interval estimate in part a. tells you.
Question
The following data were generated from a matched pairs experiment: The following data were generated from a matched pairs experiment:   Estimate with 90% confidence the mean difference.<div style=padding-top: 35px> Estimate with 90% confidence the mean difference.
Question
In random samples of 25 and 22 from each of two normal populations, we find the following statistics: In random samples of 25 and 22 from each of two normal populations, we find the following statistics:   = 56, s1 = 8.   = 62, s2 = 8.5. Assume that the population variances are equal. Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> = 56, s1 = 8. In random samples of 25 and 22 from each of two normal populations, we find the following statistics:   = 56, s1 = 8.   = 62, s2 = 8.5. Assume that the population variances are equal. Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> = 62, s2 = 8.5.
Assume that the population variances are equal. Estimate with 95% confidence the difference between the two population means.
Question
A study is trying to estimate the difference between the annual salaries paid to female and male employees working for the same large company. They take a random sample of 50 females and find that their average a
nnual salary is $75 600 with a variance of $21 250. They take a random sample of 50 males and find that their average annual salary is $78 500 with a variance of $22 500. Find and interpret a 95% confidence interval for the difference in annual salaries for female and male employees of this large company.
Question
In an experiment comparing two populations, we find the following statistics:
n1 = 150, x1 = 72.
n2 = 175, x2 = 70.
Estimate with 95% confidence the difference between the two population proportions.
Question
For a matched pairs experiment, find a 90% confidence interval for µD given that sample mean differences is 5, the standard deviation of differences is 3 and the sample sizes are 30.
Question
We find the following statistics:
n1 = 400, x1 = 105.
n2 = 500, x2 = 140.
Estimate with 90% confidence the difference between the two population proportions.
Question
In an experiment comparing two populations, we find the following statistics:
n1 = 200, x1 = 80.
n2 = 400, x2 = 140.
Estimate with 95% confidence the difference between the two population proportions.
Question
Estimate p1 − p2 with 99% confidence, given that n1 = 50 and n2 = 50 and the first sample has a proportion of 0.50 and the second sample has a proportion of 0.20
Question
Given the following statistics:
n1 = 10, Given the following statistics: n1 = 10,   = 58.6, s1 = 13.45. n2 = 10,   = 64.6, s2 = 11.15. Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> = 58.6, s1 = 13.45.
n2 = 10, Given the following statistics: n1 = 10,   = 58.6, s1 = 13.45. n2 = 10,   = 64.6, s2 = 11.15. Estimate with 95% confidence the difference between the two population means.<div style=padding-top: 35px> = 64.6, s2 = 11.15.
Estimate with 95% confidence the difference between the two population means.
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Deck 11: Estimation: Comparing Two Populations
1
The expected value of the difference of two sample means equals the difference of the corresponding population means:

A)only if the populations are normally distributed.
B)only if the samples are independent.
C)only if the populations are approximately normal and the sample sizes are large.
D)is always correct.
is always correct.
2
Two independent random samples of 25 observations each are drawn from two normal populations. The parameters of these populations are: Two independent random samples of 25 observations each are drawn from two normal populations. The parameters of these populations are:   Find the probability that the mean of sample 1 will exceed the mean of sample 2. Find the probability that the mean of sample 1 will exceed the mean of sample 2.
0.9319.
3
If two random samples of sizes <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: and <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: are selected independently from two populations with means <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: and <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: , then the mean of the sampling distribution of the sample mean difference, <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: , equals:

A) <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: + <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: .
B) <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: - <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: .
C) <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: / <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: .
D) <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: <strong>If two random samples of sizes   and   are selected independently from two populations with means   and   , then the mean of the sampling distribution of the sample mean difference,   , equals:</strong> A)   +   . B)   -   . C)   /   . D)     .: .:
  -   . -   -   . .
4
In constructing a confidence interval estimate for the difference between two population proportions, we:

A)pool the population proportions when the populations are normally distributed.
B)pool the population proportions when the population means are equal.
C)pool the population proportions when they are equal.
D)never pool the population proportions.
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5
If two random samples of sizes <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . and <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . are selected independently from two populations with variances <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . and <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . , then the standard error of the sampling distribution of the sample mean difference, <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . , equals:

A) <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . .
B) <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . .
C) <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . .
D) <strong>If two random samples of sizes   and   are selected independently from two populations with variances   and   , then the standard error of the sampling distribution of the sample mean difference,   , equals:</strong> A)   . B)   . C)   . D)   . .
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6
We cannot estimate the difference between population means by estimating the mean difference μD,
when the data are produced by a matched pairs experiment.
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7
If two random samples of sizes 30 and 45 are selected independently from two non-normal populations with means of 53 and 57, then the mean of the sampling distribution of the sample mean difference, If two random samples of sizes 30 and 45 are selected independently from two non-normal populations with means of 53 and 57, then the mean of the sampling distribution of the sample mean difference,   , equals -4. , equals -4.
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8
Which of the following statements is correct when estimating the difference between two population proportions p1 − p2?

A)We must take two independent samples.
B)We count the number of successes in each sample.
C)The sampling distribution of the difference of sample proportions is approximately normally distributed for large sample sizes.
D)All of these choices are correct.
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9
Suppose that the starting salaries of finance graduates from university A are normally distributed with a mean of $36 750 and a standard deviation of $5320. The starting salaries of finance graduates from university B are normally distributed with a mean of $34 625 and a standard deviation of $6540. If simple random samples of 50 finance graduates are selected from each university, what is the probability that the sample mean of university A graduates will exceed that of university B graduates?
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10
In order to draw inferences about p1 − p2, we take two independent samples − a sample of size n1 from population 1 and a sample of size n2 from population 2.
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11
Two independent random samples are drawn from two normal populations. The sample sizes are 20 and 25, respectively. The parameters of these populations are: Two independent random samples are drawn from two normal populations. The sample sizes are 20 and 25, respectively. The parameters of these populations are:   Find the probability that the difference between the two sample means   is between 25 and 35. Find the probability that the difference between the two sample means Two independent random samples are drawn from two normal populations. The sample sizes are 20 and 25, respectively. The parameters of these populations are:   Find the probability that the difference between the two sample means   is between 25 and 35. is between 25 and 35.
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12
If two populations are not known to be normally distributed, the sampling distribution of the sample mean difference, <strong>If two populations are not known to be normally distributed, the sampling distribution of the sample mean difference,   , will be:</strong> A)normally distributed only if both population sizes are greater than 30. B)normally distributed. C)normally distributed only if at least one of the sample sizes is greater than 30. D)approximately normally distributed. , will be:

A)normally distributed only if both population sizes are greater than 30.
B)normally distributed.
C)normally distributed only if at least one of the sample sizes is greater than 30.
D)approximately normally distributed.
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13
When the two population variances are unequal, we cannot pool the data and produce a
common estimator. We must calculate s12 or s22 and use them to estimate σ12 and σ22 respectively.
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14
If two random samples of sizes <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . and <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference, <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . , is:

A)always non-normal.
B)always normal.
C)approximately normal only if <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . and <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . are both larger than 30.
D)approximately normal regardless of <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . and <strong>If two random samples of sizes   and   are selected independently from two non-normally distributed populations, then the sampling distribution of the sample mean difference,   , is:</strong> A)always non-normal. B)always normal. C)approximately normal only if   and   are both larger than 30. D)approximately normal regardless of   and   . .
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15
Which of the following best describes a matched pairs experiment?

A)An experiment in which each observation in one sample can be matched with an observation in another sample.
B)A matched pairs experiments means that the samples are not independent.
C)We estimate the difference between population means by estimating the mean difference when the data are produced by a matched pairs experiment.
D)All of these choices are correct.
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16
If two random samples, each of size 36, are selected independently from two populations with variances of 42 and 50, then the standard error of the sampling distribution of the sample mean difference, If two random samples, each of size 36, are selected independently from two populations with variances of 42 and 50, then the standard error of the sampling distribution of the sample mean difference,   , equals 2.5556. , equals 2.5556.
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17
In constructing a confidence interval estimate for the difference between the means of two normally distributed populations, using two independent samples, 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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18
Two samples are selected at random from two independent normally distributed populations. Sample 1 has 49 observations and has a mean of 10 and a standard deviation of 5. Sample 2 has 36 observations and has a mean of 12 and a standard deviation of 3. The standard error of the sampling distribution of the sample mean difference, <strong>Two samples are selected at random from two independent normally distributed populations. Sample 1 has 49 observations and has a mean of 10 and a standard deviation of 5. Sample 2 has 36 observations and has a mean of 12 and a standard deviation of 3. The standard error of the sampling distribution of the sample mean difference,   , is:</strong> A)0.1853. B)0.7602. C)0.7331. D)0.8719. , is:

A)0.1853.
B)0.7602.
C)0.7331.
D)0.8719.
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19
In constructing a 99% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are as follows: n1 = 28 <strong>In constructing a 99% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are as follows: n1 = 28   = 123 S1 = 8.5 N2 = 45   = 105 S2 = 12.4 The lower confidence limit is:</strong> A)24.485. B)11.515. C)13.116. D)22.884. = 123
S1 = 8.5
N2 = 45 <strong>In constructing a 99% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are as follows: n1 = 28   = 123 S1 = 8.5 N2 = 45   = 105 S2 = 12.4 The lower confidence limit is:</strong> A)24.485. B)11.515. C)13.116. D)22.884. = 105
S2 = 12.4
The lower confidence limit is:

A)24.485.
B)11.515.
C)13.116.
D)22.884.
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20
Suppose that the starting salaries of male workers are normally distributed with a mean of $56 000 and a standard deviation of $12 000. The starting salaries of female workers are normally distributed with a mean of $50 000 and a standard deviation of $10 000. A random sample of 50 male workers and a random sample of 40 female workers are selected.
a. What is the sampling distribution of the sample mean difference Suppose that the starting salaries of male workers are normally distributed with a mean of $56 000 and a standard deviation of $12 000. The starting salaries of female workers are normally distributed with a mean of $50 000 and a standard deviation of $10 000. A random sample of 50 male workers and a random sample of 40 female workers are selected. a. What is the sampling distribution of the sample mean difference   ? Explain. b. Find the expected value and the standard error of the sample mean difference. c. What is the probability that the sample mean salary of female workers will not exceed that of the male workers? ? Explain.
b. Find the expected value and the standard error of the sample mean difference.
c. What is the probability that the sample mean salary of female workers will not exceed that of the male workers?
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21
Two random samples from two normal populations produced the following statistics:
n1 = 51, Two random samples from two normal populations produced the following statistics: n1 = 51,   = 35, s1 = 28. n2 = 40,   = 28, s2 = 10. Assume that the two population variances are different. Estimate with 95% confidence the difference between the two population means. = 35, s1 = 28.
n2 = 40, Two random samples from two normal populations produced the following statistics: n1 = 51,   = 35, s1 = 28. n2 = 40,   = 28, s2 = 10. Assume that the two population variances are different. Estimate with 95% confidence the difference between the two population means. = 28, s2 = 10.
Assume that the two population variances are different. Estimate with 95% confidence the difference between the two population means.
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22
A simple random sample of ten firms was asked how much money (in thousands of dollars) they spent on employee training programs this year and how much they plan to spend on these programs next year. The data are shown below. A simple random sample of ten firms was asked how much money (in thousands of dollars) they spent on employee training programs this year and how much they plan to spend on these programs next year. The data are shown below.   Assume that the populations of amount spent on employee training programs are normally distributed. a. Estimate with 95% confidence the mean difference. b. Briefly explain what the interval estimate in part a. tells you. Assume that the populations of amount spent on employee training programs are normally distributed.
a. Estimate with 95% confidence the mean difference.
b. Briefly explain what the interval estimate in part a. tells you.
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23
A quality control inspector keeps a tally sheet of the numbers of acceptable and unacceptable products that come off two different production lines. The completed sheet is shown below. A quality control inspector keeps a tally sheet of the numbers of acceptable and unacceptable products that come off two different production lines. The completed sheet is shown below.   Estimate with 95% confidence the difference in population proportions. Estimate with 95% confidence the difference in population proportions.
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24
Thirty-five employees who completed two years of tertiary education were asked to take a basic mathematics test. The mean and standard deviation of their marks were 75.1 and 12.8, respectively. In a random sample of 50 employees who only completed high school, the mean and standard deviation of the test marks were 72.1 and 14.6, respectively. Estimate with 90% confidence the difference in mean scores between the two groups of employees.
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25
The marketing manager of a pharmaceutical company believes that more females than males use its acne medicine. In a recent survey, 2500 teenagers were asked whether or not they use that particular product. The responses, categorised by gender, are summarised below. The marketing manager of a pharmaceutical company believes that more females than males use its acne medicine. In a recent survey, 2500 teenagers were asked whether or not they use that particular product. The responses, categorised by gender, are summarised below.   a. Estimate with 90% confidence the difference in the proportions of male and female users of the acne medicine. b. Describe what the interval estimate in part a. tells you. a. Estimate with 90% confidence the difference in the proportions of male and female users of the acne medicine.
b. Describe what the interval estimate in part a. tells you.
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26
A political poll taken immediately prior to a state election reveals that 158 out of 250 male voters and 105 out of 200 female voters intend to vote for the Independent candidate. Estimate with 95% confidence the difference between the proportions of male and female voters who intend to vote for the Independent candidate.
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27
Ten functionally illiterate adults were given an experimental one-week crash course in reading. Each of the 10 was given a reading test prior to the course and another test after the course. The results are shown below. Ten functionally illiterate adults were given an experimental one-week crash course in reading. Each of the 10 was given a reading test prior to the course and another test after the course. The results are shown below.   a. Estimate the mean improvement with 95% confidence. b. Briefly describe what the interval estimate in part a. tells you. a. Estimate the mean improvement with 95% confidence.
b. Briefly describe what the interval estimate in part a. tells you.
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28
The following data were generated from a matched pairs experiment: The following data were generated from a matched pairs experiment:   Estimate with 90% confidence the mean difference. Estimate with 90% confidence the mean difference.
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29
In random samples of 25 and 22 from each of two normal populations, we find the following statistics: In random samples of 25 and 22 from each of two normal populations, we find the following statistics:   = 56, s1 = 8.   = 62, s2 = 8.5. Assume that the population variances are equal. Estimate with 95% confidence the difference between the two population means. = 56, s1 = 8. In random samples of 25 and 22 from each of two normal populations, we find the following statistics:   = 56, s1 = 8.   = 62, s2 = 8.5. Assume that the population variances are equal. Estimate with 95% confidence the difference between the two population means. = 62, s2 = 8.5.
Assume that the population variances are equal. Estimate with 95% confidence the difference between the two population means.
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30
A study is trying to estimate the difference between the annual salaries paid to female and male employees working for the same large company. They take a random sample of 50 females and find that their average a
nnual salary is $75 600 with a variance of $21 250. They take a random sample of 50 males and find that their average annual salary is $78 500 with a variance of $22 500. Find and interpret a 95% confidence interval for the difference in annual salaries for female and male employees of this large company.
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31
In an experiment comparing two populations, we find the following statistics:
n1 = 150, x1 = 72.
n2 = 175, x2 = 70.
Estimate with 95% confidence the difference between the two population proportions.
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32
For a matched pairs experiment, find a 90% confidence interval for µD given that sample mean differences is 5, the standard deviation of differences is 3 and the sample sizes are 30.
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33
We find the following statistics:
n1 = 400, x1 = 105.
n2 = 500, x2 = 140.
Estimate with 90% confidence the difference between the two population proportions.
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34
In an experiment comparing two populations, we find the following statistics:
n1 = 200, x1 = 80.
n2 = 400, x2 = 140.
Estimate with 95% confidence the difference between the two population proportions.
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35
Estimate p1 − p2 with 99% confidence, given that n1 = 50 and n2 = 50 and the first sample has a proportion of 0.50 and the second sample has a proportion of 0.20
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36
Given the following statistics:
n1 = 10, Given the following statistics: n1 = 10,   = 58.6, s1 = 13.45. n2 = 10,   = 64.6, s2 = 11.15. Estimate with 95% confidence the difference between the two population means. = 58.6, s1 = 13.45.
n2 = 10, Given the following statistics: n1 = 10,   = 58.6, s1 = 13.45. n2 = 10,   = 64.6, s2 = 11.15. Estimate with 95% confidence the difference between the two population means. = 64.6, s2 = 11.15.
Estimate with 95% confidence the difference between the two population means.
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