Deck 12: Estimation: Comparing Two Populations

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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.
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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 (X<sub>1</sub>-bar - X<sub>2</sub>-bar) is between 25 and 35.<div style=padding-top: 35px> Find the probability that the difference between the two sample means (X1-bar - X2-bar) is between 25 and 35.
Question
If two random samples of sizes 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:   :<div style=padding-top: 35px> and 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:   :<div style=padding-top: 35px> are selected independently from two populations with means 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:   :<div style=padding-top: 35px> and 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:   :<div style=padding-top: 35px> , then the mean of the sampling distribution of the sample mean difference, 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:   :<div style=padding-top: 35px> , equals: 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:   :<div style=padding-top: 35px> :
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 Xˉ1\bar { X } _ { 1 } - Xˉ2\bar { X } _ { 2 } ? 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
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) All of these choices are correct.
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 annual 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
If two random samples of sizes 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:  <div style=padding-top: 35px> and 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:  <div style=padding-top: 35px> are selected independently from two populations with variances 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:  <div style=padding-top: 35px> and 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:  <div style=padding-top: 35px> , then the standard error of the sampling distribution of the sample mean difference, 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:  <div style=padding-top: 35px> , equals: 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:  <div style=padding-top: 35px>
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
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
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
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
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
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
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
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
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
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
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
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: <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:   The lower confidence limit is:</strong> A) 24.485. B) 11.515. C) 13.116. D) 22.884. <div style=padding-top: 35px> The lower confidence limit is:

A) 24.485.
B) 11.515.
C) 13.116.
D) 22.884.
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
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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Deck 12: Estimation: Comparing Two Populations
1
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.
D
2
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.
True
3
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 (X<sub>1</sub>-bar - X<sub>2</sub>-bar) is between 25 and 35. Find the probability that the difference between the two sample means (X1-bar - X2-bar) is between 25 and 35.
0.9412.
4
If two random samples of sizes 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:   : and 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:   : are selected independently from two populations with means 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:   : and 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:   : , then the mean of the sampling distribution of the sample mean difference, 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:   : , equals: 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:   : :
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5
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 Xˉ1\bar { X } _ { 1 } - Xˉ2\bar { X } _ { 2 } ? 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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6
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) All of these choices are correct.
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7
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 annual 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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8
If two random samples of sizes 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:  and 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:  are selected independently from two populations with variances 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:  and 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:  , then the standard error of the sampling distribution of the sample mean difference, 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:  , equals: 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:
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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
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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11
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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12
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.
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13
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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14
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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15
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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16
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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17
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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18
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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19
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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20
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: <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:   The lower confidence limit is:</strong> A) 24.485. B) 11.515. C) 13.116. D) 22.884. The lower confidence limit is:

A) 24.485.
B) 11.515.
C) 13.116.
D) 22.884.
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21
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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22
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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