Deck 10: Two-Sample Tests
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Deck 10: Two-Sample Tests
1
In testing for the differences between the means of two related populations, the ________ hypothesis is the hypothesis of "no differences."
null or HO
2
Given the following information, calculate sp2, the pooled sample variance that should be used in the pooled-variance t test. 
A) sp2 = 6.00
B) sp2 = 5.00
C) sp2 = 5.23
D) sp2 = 4.00

A) sp2 = 6.00
B) sp2 = 5.00
C) sp2 = 5.23
D) sp2 = 4.00
sp2 = 5.23
3
In testing for differences between the means of 2 related populations where the variance of the differences is unknown, the degrees of freedom are
A) n - 1.
B) n1 + n2 - 1.
C) n1 + n2 - 2.
D) n - 2.
A) n - 1.
B) n1 + n2 - 1.
C) n1 + n2 - 2.
D) n - 2.
n - 1.
4
In testing for the differences between the means of 2 independent populations where the variances in each population are unknown but assumed equal, the degrees of freedom are
A) n - 1.
B) n1 + n2 - 1.
C) n1 + n2 - 2.
D) n - 2.
A) n - 1.
B) n1 + n2 - 1.
C) n1 + n2 - 2.
D) n - 2.
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5
TABLE 10-1
Are Japanese managers more motivated than American managers? A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL), which measures motivation for upward mobility. The SSATL scores are summarized below.

Referring to Table 10-1, what is the value of the test statistic?
A) -14.08
B) -11.8092
C) -1.9677
D) 96.4471
Are Japanese managers more motivated than American managers? A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL), which measures motivation for upward mobility. The SSATL scores are summarized below.

Referring to Table 10-1, what is the value of the test statistic?
A) -14.08
B) -11.8092
C) -1.9677
D) 96.4471
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6
When testing for the difference between 2 population variances with sample sizes of n1 = 8 and n2 = 10, where n1 has the larger variance, the number of degrees of freedom are
A) 8 and 10.
B) 7 and 9.
C) 18.
D) 16.
A) 8 and 10.
B) 7 and 9.
C) 18.
D) 16.
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7
Given the following information, calculate the degrees of freedom that should be used in the pooled-variance t test. 
A) df = 41
B) df = 39
C) df = 16
D) df = 25

A) df = 41
B) df = 39
C) df = 16
D) df = 25
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8
TABLE 10-1
Are Japanese managers more motivated than American managers? A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL), which measures motivation for upward mobility. The SSATL scores are summarized below.

Referring to Table 10-1, judging from the way the data were collected, which test would likely be most appropriate to employ?
A) paired t test
B) pooled-variance t test for the difference between two means
C) F test for the ratio of two variances
D) Z test for the difference between two proportions
Are Japanese managers more motivated than American managers? A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL), which measures motivation for upward mobility. The SSATL scores are summarized below.

Referring to Table 10-1, judging from the way the data were collected, which test would likely be most appropriate to employ?
A) paired t test
B) pooled-variance t test for the difference between two means
C) F test for the ratio of two variances
D) Z test for the difference between two proportions
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9
In testing for the differences between the means of two related populations, we assume that the differences follow a ________ distribution.
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10
The statistical distribution used for testing the difference between two population variances is the ________ distribution.
A) t
B) standardized normal
C) binomial
D) F
A) t
B) standardized normal
C) binomial
D) F
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11
The t test for the mean difference between 2 related populations assumes that the
A) population sizes are equal.
B) sample variances are equal.
C) population of differences is approximately normal or sample sizes are large enough.
D) All of the above.
A) population sizes are equal.
B) sample variances are equal.
C) population of differences is approximately normal or sample sizes are large enough.
D) All of the above.
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12
In testing for the differences between the means of two independent populations, we assume that the 2 populations each follow a ________ distribution.
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13
In testing for differences between the means of two independent populations, the null hypothesis is:
A) H0 : μ1 - μ2 = 2.
B) H0 : μ1 - μ2 = 0.
C) H0 : μ1 - μ2 > 0.
D) H0 : μ1 - μ2 < 2.
A) H0 : μ1 - μ2 = 2.
B) H0 : μ1 - μ2 = 0.
C) H0 : μ1 - μ2 > 0.
D) H0 : μ1 - μ2 < 2.
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14
The test for the equality of two population variances is based on
A) the difference between the 2 sample variances.
B) the ratio of the 2 sample variances.
C) the difference between the 2 population variances.
D) the difference between the sample variances divided by the difference between the sample means.
A) the difference between the 2 sample variances.
B) the ratio of the 2 sample variances.
C) the difference between the 2 population variances.
D) the difference between the sample variances divided by the difference between the sample means.
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15
The t test for the difference between the means of 2 independent populations assumes that the respective
A) sample sizes are equal.
B) sample variances are equal.
C) populations are approximately normal.
D) All of the above.
A) sample sizes are equal.
B) sample variances are equal.
C) populations are approximately normal.
D) All of the above.
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16
The F test used for testing the difference in two population variances is always a one-tail test.
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17
If we are testing for the difference between the means of 2 independent populations presumes equal variances with samples of n1 = 20 and n2 = 20, the number of degrees of freedom is equal to
A) 39.
B) 38.
C) 19.
D) 18.
A) 39.
B) 38.
C) 19.
D) 18.
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18
In what type of test is the variable of interest the difference between the values of the observations rather than the observations themselves?
A) A test for the equality of variances from 2 independent populations.
B) A test for the difference between the means of 2 related populations.
C) A test for the difference between the means of 2 independent populations.
D) All of the above.
A) A test for the equality of variances from 2 independent populations.
B) A test for the difference between the means of 2 related populations.
C) A test for the difference between the means of 2 independent populations.
D) All of the above.
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19
In testing for differences between the means of two related populations, the null hypothesis is
A) H0 : μD = 2.
B) H0 : μD = 0.
C) H0 : μD < 0.
D) H0 : μD > 0.
A) H0 : μD = 2.
B) H0 : μD = 0.
C) H0 : μD < 0.
D) H0 : μD > 0.
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20
If we are testing for the difference between the means of 2 related populations with samples of n1 = 20 and n2 = 20, the number of degrees of freedom is equal to
A) 39.
B) 38.
C) 19.
D) 18.
A) 39.
B) 38.
C) 19.
D) 18.
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21
TABLE 10-3
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, suppose α = 0.05. Which of the following represents the result of the relevant hypothesis test?
A) The alternative hypothesis is rejected.
B) The null hypothesis is rejected.
C) The null hypothesis is not rejected.
D) Insufficient information exists on which to make a decision.
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, suppose α = 0.05. Which of the following represents the result of the relevant hypothesis test?
A) The alternative hypothesis is rejected.
B) The null hypothesis is rejected.
C) The null hypothesis is not rejected.
D) Insufficient information exists on which to make a decision.
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22
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is a point estimate for the mean of the sampling distribution of the difference between the 2 sample means?
A) -22
B) -10
C) -15
D) 0
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is a point estimate for the mean of the sampling distribution of the difference between the 2 sample means?
A) -22
B) -10
C) -15
D) 0
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23
TABLE 10-1
Are Japanese managers more motivated than American managers? A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL), which measures motivation for upward mobility. The SSATL scores are summarized below.

Referring to Table 10-1, find the p-value if we assume that the alternative hypothesis was a two-tail test.
A) smaller than 0.01
B) between 0.01 and 0.05
C) between 0.05 and 0.1
D) greater than 0.1
Are Japanese managers more motivated than American managers? A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL), which measures motivation for upward mobility. The SSATL scores are summarized below.

Referring to Table 10-1, find the p-value if we assume that the alternative hypothesis was a two-tail test.
A) smaller than 0.01
B) between 0.01 and 0.05
C) between 0.05 and 0.1
D) greater than 0.1
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24
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is(are) the critical value(s) of the relevant hypothesis test if the level of significance is 0.01?
A) t ≅ Z = -1.96
B) t ≅ Z = ±1.96
C) t ≅ Z = -2.080
D) t ≅ Z = -2.33
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is(are) the critical value(s) of the relevant hypothesis test if the level of significance is 0.01?
A) t ≅ Z = -1.96
B) t ≅ Z = ±1.96
C) t ≅ Z = -2.080
D) t ≅ Z = -2.33
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25
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is the estimated standard error of the difference between the 2 sample means?
A) 4.06
B) 5.61
C) 8.01
D) 16.00
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is the estimated standard error of the difference between the 2 sample means?
A) 4.06
B) 5.61
C) 8.01
D) 16.00
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26
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, which of the following represents the relevant hypotheses tested by the real estate company?
A)
B)
C)
D)
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, which of the following represents the relevant hypotheses tested by the real estate company?
A)

B)

C)

D)

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27
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is(are) the critical value(s) of the relevant hypothesis test if the level of significance is 0.05?
A) t ≅ Z = -1.645
B) t ≅ Z = ±1.96
C) t ≅ Z = -1.96
D) t ≅ Z = -2.080
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is(are) the critical value(s) of the relevant hypothesis test if the level of significance is 0.05?
A) t ≅ Z = -1.645
B) t ≅ Z = ±1.96
C) t ≅ Z = -1.96
D) t ≅ Z = -2.080
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28
TABLE 10-3
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, what is the value of the test statistic for testing if the population variances differ for preservatives I and II?
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, what is the value of the test statistic for testing if the population variances differ for preservatives I and II?
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29
TABLE 10-2
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, the researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. From the analysis in Table 10-2, the correct test statistic is:
A) 0.0860
B) -1.4019
C) -1.7011
D) -6,733.33
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, the researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. From the analysis in Table 10-2, the correct test statistic is:
A) 0.0860
B) -1.4019
C) -1.7011
D) -6,733.33
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30
TABLE 10-2
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, the researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. According to the test run, which of the following is an appropriate alternative hypothesis?
A) H1 : μfemales > μmales
B) H1 : μfemales < μmales
C) H1 : μfemales ≠ μmales
D) H1 : μfemales = μmales
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, the researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. According to the test run, which of the following is an appropriate alternative hypothesis?
A) H1 : μfemales > μmales
B) H1 : μfemales < μmales
C) H1 : μfemales ≠ μmales
D) H1 : μfemales = μmales
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31
TABLE 10-3
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3,
A) There is no evidence of a difference in the population variances between preservatives I and II.
B) There is evidence of a difference in the population variances between preservatives I and II.
C) There is no evidence that the population variances between preservatives I and II are the same.
D) There is evidence that the population variances between preservatives I and II are the same.
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3,
A) There is no evidence of a difference in the population variances between preservatives I and II.
B) There is evidence of a difference in the population variances between preservatives I and II.
C) There is no evidence that the population variances between preservatives I and II are the same.
D) There is evidence that the population variances between preservatives I and II are the same.
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32
TABLE 10-3
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, state the null and alternative hypotheses for testing if the population variances differ for preservatives I and II.
A)
B)
C)
D)
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, state the null and alternative hypotheses for testing if the population variances differ for preservatives I and II.
A)

B)

C)

D)

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33
TABLE 10-2
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, what is the 90% confidence interval estimate for the difference between two means?
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, what is the 90% confidence interval estimate for the difference between two means?
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34
TABLE 10-3
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, what is the largest level of significance at which a test if the population variances differ for preservatives I and II will not be rejected?
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, what is the largest level of significance at which a test if the population variances differ for preservatives I and II will not be rejected?
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35
TABLE 10-2
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, the researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. The proper conclusion for this test is:
A) At the α = 0.10 level, there is sufficient evidence to indicate a difference in the mean starting salaries of male and female MBA graduates.
B) At the α = 0.10 level, there is sufficient evidence to indicate that females have a lower mean starting salary than male MBA graduates.
C) At the α = 0.10 level, there is sufficient evidence to indicate that females have a higher mean starting salary than male MBA graduates.
D) At the α = 0.10 level, there is insufficient evidence to indicate any difference in the mean starting salaries of male and female MBA graduates.
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, the researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. The proper conclusion for this test is:
A) At the α = 0.10 level, there is sufficient evidence to indicate a difference in the mean starting salaries of male and female MBA graduates.
B) At the α = 0.10 level, there is sufficient evidence to indicate that females have a lower mean starting salary than male MBA graduates.
C) At the α = 0.10 level, there is sufficient evidence to indicate that females have a higher mean starting salary than male MBA graduates.
D) At the α = 0.10 level, there is insufficient evidence to indicate any difference in the mean starting salaries of male and female MBA graduates.
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36
TABLE 10-2
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, what is the 99% confidence interval estimate for the difference between two means?
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, what is the 99% confidence interval estimate for the difference between two means?
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37
TABLE 10-3
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, what is the critical value for testing if the population variances differ for preservatives I and II at the 5% level of significance?
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, what is the critical value for testing if the population variances differ for preservatives I and II at the 5% level of significance?
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38
TABLE 10-2
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, what is the 95% confidence interval estimate for the difference between two means?
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, what is the 95% confidence interval estimate for the difference between two means?
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39
TABLE 10-3
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, what assumptions are necessary for testing if the population variances differ for preservatives I and II?
A) Both sampled populations are normally distributed.
B) Both samples are random and independent.
C) Neither A nor B is necessary.
D) Both A and B are necessary.
The use of preservatives by food processors has become a controversial issue. Suppose 2 preservatives are extensively tested and determined safe for use in meats. A processor wants to compare the preservatives for their effects on retarding spoilage. Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II, and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat. The results are summarized in the table below.

Referring to Table 10-3, what assumptions are necessary for testing if the population variances differ for preservatives I and II?
A) Both sampled populations are normally distributed.
B) Both samples are random and independent.
C) Neither A nor B is necessary.
D) Both A and B are necessary.
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40
TABLE 10-2
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, the researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. What assumptions were necessary to conduct this hypothesis test?
A) Both populations of salaries (male and female) must have approximate normal distributions.
B) The population variances are approximately equal.
C) The samples were randomly and independently selected.
D) All of the above assumptions were necessary.
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries. Of primary interest to the researcher was the effect of gender on starting salaries. Analysis of the mean salaries of the females and males in the sample is given below.

Referring to Table 10-2, the researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. What assumptions were necessary to conduct this hypothesis test?
A) Both populations of salaries (male and female) must have approximate normal distributions.
B) The population variances are approximately equal.
C) The samples were randomly and independently selected.
D) All of the above assumptions were necessary.
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41
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, one must assume that the population of difference scores is normally distributed.
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, one must assume that the population of difference scores is normally distributed.
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42
The sample size in each independent sample must be the same if we are to test for differences between the means of 2 independent populations.
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43
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.10. Which of the following represents the correct conclusion?
A) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
B) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
C) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
D) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.10. Which of the following represents the correct conclusion?
A) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
B) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
C) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
D) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
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44
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is the 95% confidence interval estimate for the difference in the two means?
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is the 95% confidence interval estimate for the difference in the two means?
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45
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is the standardized value of the estimate of the mean of the sampling distribution of the difference between sample means?
A) -8.75
B) -3.69
C) -2.33
D) -1.96
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is the standardized value of the estimate of the mean of the sampling distribution of the difference between sample means?
A) -8.75
B) -3.69
C) -2.33
D) -1.96
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46
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is the 99% confidence interval estimate for the difference in the two means?
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, what is the 99% confidence interval estimate for the difference in the two means?
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47
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.10. Which of the following represents the result of the relevant hypothesis test?
A) The alternative hypothesis is rejected.
B) The null hypothesis is rejected.
C) The null hypothesis is not rejected.
D) Insufficient information exists on which to make a decision.
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.10. Which of the following represents the result of the relevant hypothesis test?
A) The alternative hypothesis is rejected.
B) The null hypothesis is rejected.
C) The null hypothesis is not rejected.
D) Insufficient information exists on which to make a decision.
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48
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.05. Which of the following represents the result of the relevant hypothesis test?
A) The alternative hypothesis is rejected.
B) The null hypothesis is rejected.
C) The null hypothesis is not rejected.
D) Insufficient information exists on which to make a decision.
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.05. Which of the following represents the result of the relevant hypothesis test?
A) The alternative hypothesis is rejected.
B) The null hypothesis is rejected.
C) The null hypothesis is not rejected.
D) Insufficient information exists on which to make a decision.
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49
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, at the 0.05 level of significance, the decision for this hypothesis test would be:
A) reject the null hypothesis.
B) do not reject the null hypothesis.
C) reject the alternative hypothesis.
D) It cannot be determined from the information given.
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, at the 0.05 level of significance, the decision for this hypothesis test would be:
A) reject the null hypothesis.
B) do not reject the null hypothesis.
C) reject the alternative hypothesis.
D) It cannot be determined from the information given.
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50
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the p-value of the test statistic is ________.
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the p-value of the test statistic is ________.
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51
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, what is the critical value for testing at the 5% level of significance whether the business school preparation course is effective in improving exam scores?
A) 2.365
B) 2.145
C) 1.761
D) 1.895
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, what is the critical value for testing at the 5% level of significance whether the business school preparation course is effective in improving exam scores?
A) 2.365
B) 2.145
C) 1.761
D) 1.895
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52
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, in examining the differences between related samples we are essentially sampling from an underlying population of difference "scores."
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, in examining the differences between related samples we are essentially sampling from an underlying population of difference "scores."
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53
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.01. Which of the following represents the result of the relevant hypothesis test?
A) The alternative hypothesis is rejected.
B) The null hypothesis is rejected.
C) The null hypothesis is not rejected.
D) Insufficient information exists on which to make a decision.
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.01. Which of the following represents the result of the relevant hypothesis test?
A) The alternative hypothesis is rejected.
B) The null hypothesis is rejected.
C) The null hypothesis is not rejected.
D) Insufficient information exists on which to make a decision.
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54
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.05. Which of the following represents the correct conclusion?
A) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
B) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
C) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
D) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.05. Which of the following represents the correct conclusion?
A) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
B) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
C) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
D) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
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55
TABLE 10-4
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.01. Which of the following represents the correct conclusion?
A) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
B) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
C) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
D) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
A real estate company is interested in testing whether, on average, families in Gotham have been living in their current homes for less time than families in Metropolis have. Assume that the two population variances are equal. A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes.

Referring to Table 10-4, suppose α = 0.01. Which of the following represents the correct conclusion?
A) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
B) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is less than families in Metropolis.
C) There is not enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
D) There is enough evidence that the mean amount of time families in Gotham have been living in their current homes is not less than families in Metropolis.
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56
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the number of degrees of freedom is
A) 14.
B) 13.
C) 8.
D) 7.
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the number of degrees of freedom is
A) 14.
B) 13.
C) 8.
D) 7.
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57
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the value of the standard error of the difference scores is
A) 65.027.
B) 60.828.
C) 22.991.
D) 14.696.
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the value of the standard error of the difference scores is
A) 65.027.
B) 60.828.
C) 22.991.
D) 14.696.
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58
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the value of the sample mean difference is ________ if the difference scores reflect the results of the exam after the course minus the results of the exam before the course.
A) 0
B) 50
C) 68
D) 400
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the value of the sample mean difference is ________ if the difference scores reflect the results of the exam after the course minus the results of the exam before the course.
A) 0
B) 50
C) 68
D) 400
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59
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the calculated value of the test statistic is ________.
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, the calculated value of the test statistic is ________.
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60
TABLE 10-5
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, at the 0.05 level of significance, the conclusion for this hypothesis test would be:
A) the business school preparation course does improve exam score.
B) the business school preparation course does not improve exam score.
C) the business school preparation course has no impact on exam score.
D) No conclusion can be drawn from the information given.
To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.

Referring to Table 10-5, at the 0.05 level of significance, the conclusion for this hypothesis test would be:
A) the business school preparation course does improve exam score.
B) the business school preparation course does not improve exam score.
C) the business school preparation course has no impact on exam score.
D) No conclusion can be drawn from the information given.
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61
When testing for differences between the means of 2 related populations, we can use either a one-tail or two-tail test.
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62
For all two-sample tests, the sample sizes must be equal in the 2 groups.
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63
When we test for differences between the means of 2 independent populations, we can only use a two-tail test.
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64
When testing H0 : π1 - π2 ≤ 0 versus H1 : π1 - π2 > 0, the observed value of the Z-score was found to be -2.13. The p-value for this test would be
A) 0.0166.
B) 0.0332.
C) 0.9668.
D) 0.9834.
A) 0.0166.
B) 0.0332.
C) 0.9668.
D) 0.9834.
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65
When testing H0 : π1 - π2 = 0 versus H1 : π1 - π2 ≠ 0, the observed value of the Z-score was found to be -2.13. The p-value for this test would be
A) 0.0166.
B) 0.0332.
C) 0.9668.
D) 0.9834.
A) 0.0166.
B) 0.0332.
C) 0.9668.
D) 0.9834.
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66
TABLE 10-6
Two samples each of size 25 are taken from independent populations assumed to be normally distributed with equal variances. The first sample has a mean of 35.5 and standard deviation of 3.0 while the second sample has a mean of 33.0 and standard deviation of 4.0.
Referring to Table 10-6, the computed t statistic is ________.
Two samples each of size 25 are taken from independent populations assumed to be normally distributed with equal variances. The first sample has a mean of 35.5 and standard deviation of 3.0 while the second sample has a mean of 33.0 and standard deviation of 4.0.
Referring to Table 10-6, the computed t statistic is ________.
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67
F tests are one-tail tests.
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68
When testing H0 : π1 - π2 ≥ 0 versus H1 : π1 - π2 < 0, the observed value of the Z-score was found to be -2.13. The p-value for this test would be
A) 0.0166.
B) 0.0332.
C) 0.9668.
D) 0.9834.
A) 0.0166.
B) 0.0332.
C) 0.9668.
D) 0.9834.
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69
TABLE 10-6
Two samples each of size 25 are taken from independent populations assumed to be normally distributed with equal variances. The first sample has a mean of 35.5 and standard deviation of 3.0 while the second sample has a mean of 33.0 and standard deviation of 4.0.
Referring to Table 10-6, the pooled (i.e., combined) variance is ________.
Two samples each of size 25 are taken from independent populations assumed to be normally distributed with equal variances. The first sample has a mean of 35.5 and standard deviation of 3.0 while the second sample has a mean of 33.0 and standard deviation of 4.0.
Referring to Table 10-6, the pooled (i.e., combined) variance is ________.
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70
Repeated measurements from the same individuals is an example of data collected from 2 related populations.
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71
When the sample sizes are equal, the pooled variance of the 2 groups is the average of the 2 sample variances.
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72
A statistics professor wanted to test whether the grades on a statistics test were the same for upper and lower classmen. The professor took a random sample of size 10 from each, conducted a test and found out that the variances were equal. For this situation, the professor should use a t test with related samples.
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73
A researcher is curious about the effect of sleep on students' test performances. He chooses 60 students and gives each 2 tests: one given after 2 hours' sleep and one after 8 hours' sleep. The test the researcher should use would be a related samples test.
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74
The test for the equality of 2 population variances assumes that each of the 2 populations is normally distributed.
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75
The F distribution can only have positive values.
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76
A statistics professor wanted to test whether the grades on a statistics test were the same for upper and lower classmen. The professor took a random sample of size 10 from each, conducted a test and found out that the variances were equal. For this situation, the professor should use a t test with independent samples.
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77
A Marine drill instructor recorded the time in which each of 11 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 10 degrees of freedom.
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78
TABLE 10-6
Two samples each of size 25 are taken from independent populations assumed to be normally distributed with equal variances. The first sample has a mean of 35.5 and standard deviation of 3.0 while the second sample has a mean of 33.0 and standard deviation of 4.0.
Referring to Table 10-6, there are ________ degrees of freedom for this test.
Two samples each of size 25 are taken from independent populations assumed to be normally distributed with equal variances. The first sample has a mean of 35.5 and standard deviation of 3.0 while the second sample has a mean of 33.0 and standard deviation of 4.0.
Referring to Table 10-6, there are ________ degrees of freedom for this test.
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79
The F distribution is symmetric.
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80
A Marine drill instructor recorded the time in which each of 11 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 11 degrees of freedom.
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