Deck 10: Hypothesis Testing: Additional Topics

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سؤال
If testing for the difference between the means of two related populations,the appropriate null hypothesis is:

A)H0 : μD ≠ 0
B)H0 : μD = 0
C)H0 : μD < 0
D)H0 : μD > 0
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سؤال
Based on the given information,the p-value for the F test of equal variances can be calculated and shown to be 0.289.Based on this p-value,what is your conclusion?

A)The assumption of equal variances is correct.
B)The assumption of equal variances is incorrect.
C)The answer cannot be determined based on this p-value.
D)The variance of the first sample is greater than the other.
سؤال
The test of equality of the variances between two normally distributed populations relies on the random variable <strong>The test of equality of the variances between two normally distributed populations relies on the random variable   which has a(n):</strong> A)chi-square distribution. B)distribution. C)Student's t distribution. D)normal distribution. <div style=padding-top: 35px> which has a(n):

A)chi-square distribution.
B)distribution.
C)Student's t distribution.
D)normal distribution.
سؤال
What is the value of the test statistic?

A)2.92
B)0.79
C)3.62
D)1.74
سؤال
Given the following information, <strong>Given the following information,   = 4,   = 6,n<sub>1</sub> = 16,n<sub>2</sub><sub> </sub>= 25,calculate the pooled sample variance that should be used in the pooled-variance t test.</strong> A)6.45 B)5.33 C)4.19 D)5.23 <div style=padding-top: 35px> = 4, <strong>Given the following information,   = 4,   = 6,n<sub>1</sub> = 16,n<sub>2</sub><sub> </sub>= 25,calculate the pooled sample variance that should be used in the pooled-variance t test.</strong> A)6.45 B)5.33 C)4.19 D)5.23 <div style=padding-top: 35px>
= 6,n1 = 16,n2 = 25,calculate the pooled sample variance that should be used in the pooled-variance t test.

A)6.45
B)5.33
C)4.19
D)5.23
سؤال
If testing the difference between the means of two related populations with samples of sizes n1 = 16 and n2 = 16,what is the number of degrees of freedom?

A)30
B)28
C)15
D)14
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Two samples each of size 20 are taken from independent populations assumed to be normally distributed with equal variances.The first sample has a mean of 43.5 and standard deviation of 4.1 while the second sample has a mean of 40.1 and standard deviation of 3.2.A researcher would like to test if there is a difference between the population means at the 0.05 significance level.
State the null hypothesis.

A)H0 : Px = Py
B)H0 : <strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Two samples each of size 20 are taken from independent populations assumed to be normally distributed with equal variances.The first sample has a mean of 43.5 and standard deviation of 4.1 while the second sample has a mean of 40.1 and standard deviation of 3.2.A researcher would like to test if there is a difference between the population means at the 0.05 significance level. State the null hypothesis.</strong> A)H<sub>0</sub> : P<sub>x</sub> = P<sub>y</sub> B)H<sub>0</sub> :   =   C)H<sub>0</sub> : μ<sub>x</sub> - μ<sub>y</sub> = 3.4 D)H<sub>0</sub> : μ<sub>x</sub> - μ<sub>y</sub> = 0 <div style=padding-top: 35px>
=
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Two samples each of size 20 are taken from independent populations assumed to be normally distributed with equal variances.The first sample has a mean of 43.5 and standard deviation of 4.1 while the second sample has a mean of 40.1 and standard deviation of 3.2.A researcher would like to test if there is a difference between the population means at the 0.05 significance level. State the null hypothesis.</strong> A)H<sub>0</sub> : P<sub>x</sub> = P<sub>y</sub> B)H<sub>0</sub> :   =   C)H<sub>0</sub> : μ<sub>x</sub> - μ<sub>y</sub> = 3.4 D)H<sub>0</sub> : μ<sub>x</sub> - μ<sub>y</sub> = 0 <div style=padding-top: 35px>
C)H0 : μx - μy = 3.4
D)H0 : μx - μy = 0
سؤال
In hypothesis testing,such as testing the difference between two population proportions,which of the following statements is correct when the significance level is 0.05?

A)only statistics that occur with a probability of less than .95 when H0 is true are sufficient evidence to reject H0.
B)only statistics that occur with a probability of less than .05 when H0 is true are sufficient evidence to reject H0.
C)only statistics that occur with a probability of .95 or more when H0 is true are sufficient evidence to reject H0.
D)only statistics that occur with a probability of .05 or more when H0 is true are sufficient evidence to reject H0.
سؤال
The F distribution is constructed as the ratio of two random variables following a ________ distribution.

A)normal
B)chi-square
C)Student's t
D)Poisson
سؤال
The t test for the mean difference between two related populations assumes that the:

A)population distribution of differences are approximately normal.
B)population sizes are equal.
C)sample variances are equal.
D)sample sizes are small.
سؤال
Which of the following is an appropriate null hypothesis?

A)H0 : μx - μy ≠ 0
B)H0 : Px > Py
C)H0 : μx - μy < 0
D)H0 : σ2x 2y
سؤال
When testing for the difference between the means of two normal populations using two independent samples with equal variances and with sizes of nx = 20 and ny = 15,what is the number of degrees of freedom for the t test statistic?

A)35
B)33
C)18
D)13
سؤال
What is the critical value(s)for this test? (Hint: Use Excel to find the critical value(s))

A)± 2.093
B)± 2.024
C)-1.729
D)-1.304
سؤال
If testing for the difference between the means of two related populations,with samples of sizes n1 = n2 = n,where the variance of the differences is unknown,what is the number of degrees of freedom?

A)n - 1
B)2n - 1
C)2(n - 1)
D)n - 2
سؤال
What is the pooled variance?

A)3.650
B)5.201
C)13.525
D)12.849
سؤال
What can the researcher conclude?

A)There is not sufficient evidence to reject the null hypothesis;the population means and standard deviations are equal.
B)The two population means are equal but the standard deviations are different.
C)There is sufficient evidence to reject the null hypothesis and conclude that the two population means are different.
D)The answer cannot be determined without calculating the p-value and comparing it to the significance level.
سؤال
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 of the equality of variances from 2 independent populations
B)a test of the difference between the means of 2 related populations
C)a test of the difference between the means of 2 independent populations
D)a test for of equality of variances from two related populations.
سؤال
When testing for the difference between the means of two independent populations,with samples of sizes n1 and n2,where the population variances are unknown but assumed to be equal,what is the number of degrees of freedom?

A)n - 1
B)n1 + n2 - 1
C)n1 + n2 - 2
D)n - 2
سؤال
When testing for the difference between the means of two independent populations with equal variances and with samples of sizes n1 = 20 and n2 = 20,what is the number of degrees of freedom?

A)40
B)38
C)20
D)19
سؤال
The t test for the difference between the means of two independent populations assumes that the respective:

A)sample sizes are equal.
B)sample variances are equal.
C)populations are approximately normal.
D)population variances are known.
سؤال
What is the value of α,if the cutoff point for an F distribution F9,23 = 2.32?

A)0.025
B)0.1
C)0.01
D)0.05
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.   The most accurate statement that can be made about the p-value for testing whether there is a difference in the population variances for preservatives A and B is:</strong> A)p-value > 0.05 B)p-value = 0.00 C)p-value < 0.01 D)0.01 < p-value < 0.05 <div style=padding-top: 35px>
The most accurate statement that can be made about the p-value for testing whether there is a difference in the population variances for preservatives A and B is:

A)p-value > 0.05
B)p-value = 0.00
C)p-value < 0.01
D)0.01 < p-value < 0.05
سؤال
What conclusion can be made about the effectiveness of the diet,based on the test,at the 0.05 level of significance?

A)The diet is not effective.
B)The diet is effective.
C)The sample size is relatively small to make a conclusion.
D)A conclusion cannot be drawn without calculating the p-value.
سؤال
Consider a standard model with a random sample of nx observations from a population with a proportion Px of successes and a second independent random sample of ny observations from a population with a proportion Py of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?

A)Z = <strong>Consider a standard model with a random sample of n<sub>x</sub> observations from a population with a proportion P<sub>x</sub> of successes and a second independent random sample of n<sub>y</sub> observations from a population with a proportion P<sub>y</sub> of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
B)Z = <strong>Consider a standard model with a random sample of n<sub>x</sub> observations from a population with a proportion P<sub>x</sub> of successes and a second independent random sample of n<sub>y</sub> observations from a population with a proportion P<sub>y</sub> of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
C)Z = <strong>Consider a standard model with a random sample of n<sub>x</sub> observations from a population with a proportion P<sub>x</sub> of successes and a second independent random sample of n<sub>y</sub> observations from a population with a proportion P<sub>y</sub> of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
D)Z = <strong>Consider a standard model with a random sample of n<sub>x</sub> observations from a population with a proportion P<sub>x</sub> of successes and a second independent random sample of n<sub>y</sub> observations from a population with a proportion P<sub>y</sub> of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
سؤال
What is the value of α,if the cutoff point for an F distribution F4,8 = 7.01?

A)0.025
B)0.1
C)0.05
D)0.01
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.   What assumptions are necessary for a comparison of the population variances to be valid?</strong> A)At least one of the population variances is known. B)The samples are correlated. C)One of the samples follows normal distribution and the other follows F distribution. D)Both sampled populations are normally distributed. <div style=padding-top: 35px>
What assumptions are necessary for a comparison of the population variances to be valid?

A)At least one of the population variances is known.
B)The samples are correlated.
C)One of the samples follows normal distribution and the other follows F distribution.
D)Both sampled populations are normally distributed.
سؤال
In testing for differences between the means of two independent populations,the null hypothesis is:

A)H0 : μ1 - μ2 ≠ 1.
B)H0 : μ1 - μ2 = 0.
C)H0 : μ1 - μ2 > 0.
D)H0 : μ1 - μ2 < 1.
سؤال
The statistical distribution that is used for testing the difference between two population variances is the:

A)Student's t distribution.
B)standard normal distribution.
C)binomial distribution.
D)distribution.
سؤال
Consider independent random samples from two normally distributed populations.The first population has a mean of μx and a variance of <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px> and we obtain a random sample of size nx.The second population has a mean of μy and a variance of <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
And we obtain a random sample of size ny.The sample means are denoted by <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
And <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
)Which of the following formulae calculates the random variable,Z?

A)Z = <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
B)Z = <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
C)Z = <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
D)Z = <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.   The numerator and denominator degrees of freedom associated with the test statistic for determining if there is a difference in the population variances for preservatives A and B are,respectively:</strong> A)16 and 12 B)12 and 16 C)15 and 11 D)11 and 15 <div style=padding-top: 35px>
The numerator and denominator degrees of freedom associated with the test statistic for determining if there is a difference in the population variances for preservatives A and B are,respectively:

A)16 and 12
B)12 and 16
C)15 and 11
D)11 and 15
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
To investigate the effectiveness of a diet,a random sample of 16 female patients is drawn from a population of adult females using the diet.The weight of each individual in the sample is taken at the start and at the end of the diet.Assume that the population of differences in weight before and after the diet follows a normal distribution.Suppose the mean decrease in weights over all 16 subjects in the study is 4.0 pounds with the standard deviation of differences computed as 6.4 pounds.Let µx - µy = mean weight before the diet - mean weight after the diet.
In order to test if the diet is effective,what is the value of the test statistic?

A)2.5
B)2.0
C)1.8
D)1.3
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
To investigate the effectiveness of a diet,a random sample of 16 female patients is drawn from a population of adult females using the diet.The weight of each individual in the sample is taken at the start and at the end of the diet.Assume that the population of differences in weight before and after the diet follows a normal distribution.Suppose the mean decrease in weights over all 16 subjects in the study is 4.0 pounds with the standard deviation of differences computed as 6.4 pounds.Let µx - µy = mean weight before the diet - mean weight after the diet.
In order to test if the diet is effective,what is the appropriate statistical test?

A)test of the difference between two normal population means using independent samples with known population variances
B)test of the difference between two normal population means using independent samples with unknown,but assumed to be equal,population variances
C)test of the difference between two normal population means using independent samples with unknown,but not equal,population variances
D)test of the difference between two normal population means using dependent (matched pairs)samples
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
To investigate the effectiveness of a diet,a random sample of 16 female patients is drawn from a population of adult females using the diet.The weight of each individual in the sample is taken at the start and at the end of the diet.Assume that the population of differences in weight before and after the diet follows a normal distribution.Suppose the mean decrease in weights over all 16 subjects in the study is 4.0 pounds with the standard deviation of differences computed as 6.4 pounds.Let µx - µy = mean weight before the diet - mean weight after the diet.
In order to test if the diet is effective,what is the appropriate alternative hypothesis?

A)H1 : μd < 0
B)H1 : μd > 0
C)H1 : μd = 0
D)H1 : μd ≠ 0
سؤال
Given the following information, <strong>Given the following information,   = 4,   = 6,n<sub>1</sub> = 15,n<sub>2</sub> = 20,calculate the degrees of freedom that should be used in the pooled-variance t test.</strong> A)35 B)33 C)31 D)29 <div style=padding-top: 35px> = 4, <strong>Given the following information,   = 4,   = 6,n<sub>1</sub> = 15,n<sub>2</sub> = 20,calculate the degrees of freedom that should be used in the pooled-variance t test.</strong> A)35 B)33 C)31 D)29 <div style=padding-top: 35px>
= 6,n1 = 15,n2 = 20,calculate the degrees of freedom that should be used in the pooled-variance t test.

A)35
B)33
C)31
D)29
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.   The value of the test statistic for determining if there is a difference in the population variances for preservatives A and B is equal to:</strong> A)0.784 B)1.625 C)1.275 D)1.129 <div style=padding-top: 35px>
The value of the test statistic for determining if there is a difference in the population variances for preservatives A and B is equal to:

A)0.784
B)1.625
C)1.275
D)1.129
سؤال
What is the cutoff point for an F distribution with 10 numerator degrees of freedom and 13 denominator degrees of freedom at α = 0.01?

A)4.93
B)4.71
C)4.10
D)2.67
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
To investigate the effectiveness of a diet,a random sample of 16 female patients is drawn from a population of adult females using the diet.The weight of each individual in the sample is taken at the start and at the end of the diet.Assume that the population of differences in weight before and after the diet follows a normal distribution.Suppose the mean decrease in weights over all 16 subjects in the study is 4.0 pounds with the standard deviation of differences computed as 6.4 pounds.Let µx - µy = mean weight before the diet - mean weight after the diet.
In order to test if the diet is effective,what is the appropriate critical value(s)at the 0.05 level of significance?

A)2.131
B)2.120
C)1.753
D)1.746
سؤال
The test statistic for the equality of two population variances is based on the:

A)ratio of the two sample variances.
B)difference between the two sample variances.
C)difference between the two population variances.
D)difference between the sample variances divided by the difference between the sample means.
سؤال
When testing for the difference between two population variances with sample sizes of n1 = 10 and n2 = 12,what is (are)the number (s)of degrees of freedom?

A)10 and 12
B)9 and 11
C)22
D)20
سؤال
What is the cutoff point for an F distribution with 20 numerator degrees of freedom and 30 denominator degrees of freedom at α = 0.05? (Hint: Round your answer to 2 decimal places. )

A)1.93
B)2.04
C)2.55
D)2.07
سؤال
Assume that we have independent random samples of size nx and nyobservations from normal populations with means μx and μy and unequal variances.The sample variances <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =   <div style=padding-top: 35px> and <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =   <div style=padding-top: 35px>
Are used and the means are <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =   <div style=padding-top: 35px>
And <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =   <div style=padding-top: 35px>
)Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?

A)ν = <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =   <div style=padding-top: 35px>
B)ν = <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =   <div style=padding-top: 35px>
C)ν = <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =   <div style=padding-top: 35px>
D)ν = <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =   <div style=padding-top: 35px>
سؤال
When testing for differences between the means of two independent populations,only a t-test can be used.
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A manager is considering the purchase of new production equipment to improve the output of the plant.Suppose the equipment from two suppliers is extensively tested in multiple production runs.A total of 20 runs are recorded on Supplier A's equipment and another 15 runs are reported from Supplier B's equipment.The volume produced is recorded for each of the 35 runs.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A manager is considering the purchase of new production equipment to improve the output of the plant.Suppose the equipment from two suppliers is extensively tested in multiple production runs.A total of 20 runs are recorded on Supplier A's equipment and another 15 runs are reported from Supplier B's equipment.The volume produced is recorded for each of the 35 runs.The results are summarized in the table below.   The value of the test statistic for determining if there is a difference in the population variances for Supplier A and B is equal to:</strong> A)0.44 B)1.5 C)2.25 D)0.67 <div style=padding-top: 35px>
The value of the test statistic for determining if there is a difference in the population variances for Supplier A and B is equal to:

A)0.44
B)1.5
C)2.25
D)0.67
سؤال
A null hypothesis of the difference between two population proportions is rejected at the 5% level,but not at the 2.5% level.This means that the p-value of the test is between 0.025 and 0.05.
سؤال
Suppose that a t test of H0 : μ1 - μ2 = 0 against H1 : μ1 - μ2 ≠ 0 is based on 15 degrees of freedom.If the calculated value of the test statistic is t = -1.75,then the p-value for this test is approximately 0.10.
سؤال
In a hypothesis test of the difference between two population means,if the probability of Type II error is 0.25,then:

A)the probability of rejecting H0,given that H0 is false is 0.75.
B)the probability of Type I error is 0.75.
C)the probability of rejecting H0,given that H0 is true,is 0.75.
D)the probability of accepting H1,given that H0 is true is 0.75.
سؤال
If two population variances are known,the test for differences in the two population means does not require the populations to be normally distributed if the sample sizes are large.
سؤال
If the null hypothesis H0 : μx - μy ≤ 0 is rejected against the alternative H1 : μx - μy > 0 at the 5% level of significance,then using the same data,it must be rejected against that alternative at the 1% level.
سؤال
For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:

A)F = <strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =   <div style=padding-top: 35px>
*
<strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =   <div style=padding-top: 35px>
B)F = <strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =   <div style=padding-top: 35px>
C)Z = <strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =   <div style=padding-top: 35px>
D)F = <strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =   <div style=padding-top: 35px>
سؤال
The p-value of testing H0 : Px - Py = 0 against H1 : Px - Py ≠ 0 is the probability that the null hypothesis is true.
سؤال
For two independent random samples with nx and ny observations,and each following a normal distribution,which of the following would be the F distribution degrees of freedom in the numerator?

A)nx - 1
B)nx + 1
C)1 - <strong>For two independent random samples with n<sub>x</sub> and n<sub>y</sub> observations,and each following a normal distribution,which of the following would be the F distribution degrees of freedom in the numerator?</strong> A)n<sub>x</sub> - 1 B)n<sub>x</sub> + 1 C)1 -   D)n<sub>y</sub> - 1 <div style=padding-top: 35px>
D)ny - 1
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Are medical students more motivated than law students? A randomly selected group of each were administered a survey of attitudes toward Life,which measures motivation for upward mobility.The scores are summarized below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Are medical students more motivated than law students? A randomly selected group of each were administered a survey of attitudes toward Life,which measures motivation for upward mobility.The scores are summarized below.   Judging from the way the data were collected,which test would likely be most appropriate to employ?</strong> A)independent samples Z-test for the difference in means B)matched pairs t-test for mean difference C)pooled-variance t-test for the difference in means D)matched pairs Z-test for mean difference <div style=padding-top: 35px>
Judging from the way the data were collected,which test would likely be most appropriate to employ?

A)independent samples Z-test for the difference in means
B)matched pairs t-test for mean difference
C)pooled-variance t-test for the difference in means
D)matched pairs Z-test for mean difference
سؤال
State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.

A)H0 : μM - μL ≥ 0 versus H1 : μM - μL < 0
B)H0 : μM - μL = 0 versus H1 : μM - μL ≠ 0
C)H0 : μM - μL ≤ 0 versus H1 : μM - μL > 0
D)H0 : <strong>State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.</strong> A)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≥ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> < 0 B)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> = 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≠ 0 C)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≤ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> > 0 D)H<sub>0</sub> :   <sub>M</sub> -   <sub>L</sub> = 0 versus H<sub>1</sub> :   <sub>M</sub> -   <sub>L</sub> ≠ 0 <div style=padding-top: 35px>
M -
<strong>State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.</strong> A)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≥ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> < 0 B)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> = 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≠ 0 C)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≤ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> > 0 D)H<sub>0</sub> :   <sub>M</sub> -   <sub>L</sub> = 0 versus H<sub>1</sub> :   <sub>M</sub> -   <sub>L</sub> ≠ 0 <div style=padding-top: 35px>
L = 0 versus H1 :
<strong>State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.</strong> A)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≥ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> < 0 B)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> = 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≠ 0 C)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≤ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> > 0 D)H<sub>0</sub> :   <sub>M</sub> -   <sub>L</sub> = 0 versus H<sub>1</sub> :   <sub>M</sub> -   <sub>L</sub> ≠ 0 <div style=padding-top: 35px>
M -
<strong>State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.</strong> A)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≥ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> < 0 B)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> = 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≠ 0 C)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≤ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> > 0 D)H<sub>0</sub> :   <sub>M</sub> -   <sub>L</sub> = 0 versus H<sub>1</sub> :   <sub>M</sub> -   <sub>L</sub> ≠ 0 <div style=padding-top: 35px>
L ≠ 0
سؤال
Assuming the independent samples procedure was used,which of the following is the correct test statistic.

A)Z = <strong>Assuming the independent samples procedure was used,which of the following is the correct test statistic.</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
B)Z = <strong>Assuming the independent samples procedure was used,which of the following is the correct test statistic.</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
C)Z = <strong>Assuming the independent samples procedure was used,which of the following is the correct test statistic.</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
D)Z = <strong>Assuming the independent samples procedure was used,which of the following is the correct test statistic.</strong> A)Z =   B)Z =   C)Z =   D)Z =   <div style=padding-top: 35px>
سؤال
The ________ is constructed as the ratio of two chi-square random variables,each divided by its degrees of freedom.

A)chi-square distribution
B)normal distribution
C)distribution
D)Student's t distribution
سؤال
Hypothesis tests that use the F distribution do not depend on the assumption that the populations are normally distributed as long as the sample sizes are large.
سؤال
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A manager is considering the purchase of new production equipment to improve the output of the plant.Suppose the equipment from two suppliers is extensively tested in multiple production runs.A total of 20 runs are recorded on Supplier A's equipment and another 15 runs are reported from Supplier B's equipment.The volume produced is recorded for each of the 35 runs.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A manager is considering the purchase of new production equipment to improve the output of the plant.Suppose the equipment from two suppliers is extensively tested in multiple production runs.A total of 20 runs are recorded on Supplier A's equipment and another 15 runs are reported from Supplier B's equipment.The volume produced is recorded for each of the 35 runs.The results are summarized in the table below.   The numerator and denominator degrees of freedom associated with the test statistic for determining if there is a difference in the population variances for Supplier A and B are,respectively:</strong> A)20 and 15. B)15 and 10. C)14 and 9. D)19 and 14. <div style=padding-top: 35px>
The numerator and denominator degrees of freedom associated with the test statistic for determining if there is a difference in the population variances for Supplier A and B are,respectively:

A)20 and 15.
B)15 and 10.
C)14 and 9.
D)19 and 14.
سؤال
If the null hypothesis H0 : μx - μy ≥ 0 is rejected against the alternative H1 : μx - μy < 0 at the 2% level of significance,then using the same data,it must be rejected against that alternative at the 3% level.
سؤال
Given H1 : μx - μy < 0,the hypothesis test is a(n):

A)two-sided alternative.
B)null hypothesis.
C)one-sided test.
D)upper-tailed test.
سؤال
Suppose that the test statistic is Z = 1.95.Find the p-value if we assume that the alternative hypothesis is a two-tailed test (H1 : μM - μL ≠ 0).

A)0)0256
B)0)9488
C)0)0512
D)0)9744
سؤال
The sample size in each independent sample must be the same if we are to test for differences between the means of two independent populations.
سؤال
The test for the equality of two population variances assumes that each of the two populations is normally distributed.
سؤال
When testing for the differences between the means of two independent populations,only a two-tailed test can be used.
سؤال
In testing for the differences between the means of two independent populations,we assume that the 2 populations each follow a normal distribution.
سؤال
When the sample sizes are equal,the pooled variance of the two groups is the average of the two sample variances.
سؤال
When testing H0 : μ1 - μ2 = 0 against H1 : μ1 - μ2 ≠ 0,the observed value of the Z-score was found to be -2.13.The p-value for this test would be 0.4668.
سؤال
In testing H0 : Px - Py = 0,an estimate of the common population proportion is a weighted average of the two sample proportions,the weights being equal to the sample sizes.
سؤال
Repeated measurements collected from the same individuals is an example of data collected from two related populations.
سؤال
The F distribution is constructed as the ratio of two Student's t random variables;each divided by its degrees of freedom.
سؤال
When testing for differences between the means of two related populations,either a one-tailed or two-tailed test can be used.
سؤال
The F test used for testing the difference in two population variances is always a one-tailed test.
سؤال
At 5% significance level,the upper-tailed critical value of an F test with 3 degrees of freedom in the numerator and 8 degrees of freedom in the denominator is equal to 4.07.
سؤال
An F distribution is an example of a symmetrical distribution.
سؤال
To use the Student's t distribution to compare population means when the population variances are unknown and sample sizes are small,the populations are assumed to be normally distributed.
سؤال
In testing for differences between the means of two independent populations if the test statistic is very large,then the p-value of the test should be very small.
سؤال
In a random sample of 150 music industry management majors,75 rated a sense of humor as very important trait to their career performance.The same view was held by 81 of an independent random sample of 180 professional golf management majors.Test at the 5% level against a two-sided alternative the null hypothesis that the population proportions of music industry management and professional golf management majors who rate a sense of humor as very important are the same.
سؤال
In testing for the differences between the means of two related populations,we assume that the differences follow a t distribution.
سؤال
In practical applications,the F ratio is arranged in a way such that the larger sample variance is in the denominator and the smaller is in the numerator.
سؤال
The procedure that utilizes the normal distribution to test the difference between two population proportions is valid for all sample sizes.
سؤال
In testing H0 : Px - Py = 0,the p-value equals the probability,1 - β,of avoiding the Type II error of erroneously failing to reject a null hypothesis that is in fact false.
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Deck 10: Hypothesis Testing: Additional Topics
1
If testing for the difference between the means of two related populations,the appropriate null hypothesis is:

A)H0 : μD ≠ 0
B)H0 : μD = 0
C)H0 : μD < 0
D)H0 : μD > 0
H0 : μD = 0
2
Based on the given information,the p-value for the F test of equal variances can be calculated and shown to be 0.289.Based on this p-value,what is your conclusion?

A)The assumption of equal variances is correct.
B)The assumption of equal variances is incorrect.
C)The answer cannot be determined based on this p-value.
D)The variance of the first sample is greater than the other.
The assumption of equal variances is correct.
3
The test of equality of the variances between two normally distributed populations relies on the random variable <strong>The test of equality of the variances between two normally distributed populations relies on the random variable   which has a(n):</strong> A)chi-square distribution. B)distribution. C)Student's t distribution. D)normal distribution. which has a(n):

A)chi-square distribution.
B)distribution.
C)Student's t distribution.
D)normal distribution.
distribution.
4
What is the value of the test statistic?

A)2.92
B)0.79
C)3.62
D)1.74
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5
Given the following information, <strong>Given the following information,   = 4,   = 6,n<sub>1</sub> = 16,n<sub>2</sub><sub> </sub>= 25,calculate the pooled sample variance that should be used in the pooled-variance t test.</strong> A)6.45 B)5.33 C)4.19 D)5.23 = 4, <strong>Given the following information,   = 4,   = 6,n<sub>1</sub> = 16,n<sub>2</sub><sub> </sub>= 25,calculate the pooled sample variance that should be used in the pooled-variance t test.</strong> A)6.45 B)5.33 C)4.19 D)5.23
= 6,n1 = 16,n2 = 25,calculate the pooled sample variance that should be used in the pooled-variance t test.

A)6.45
B)5.33
C)4.19
D)5.23
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6
If testing the difference between the means of two related populations with samples of sizes n1 = 16 and n2 = 16,what is the number of degrees of freedom?

A)30
B)28
C)15
D)14
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7
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Two samples each of size 20 are taken from independent populations assumed to be normally distributed with equal variances.The first sample has a mean of 43.5 and standard deviation of 4.1 while the second sample has a mean of 40.1 and standard deviation of 3.2.A researcher would like to test if there is a difference between the population means at the 0.05 significance level.
State the null hypothesis.

A)H0 : Px = Py
B)H0 : <strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Two samples each of size 20 are taken from independent populations assumed to be normally distributed with equal variances.The first sample has a mean of 43.5 and standard deviation of 4.1 while the second sample has a mean of 40.1 and standard deviation of 3.2.A researcher would like to test if there is a difference between the population means at the 0.05 significance level. State the null hypothesis.</strong> A)H<sub>0</sub> : P<sub>x</sub> = P<sub>y</sub> B)H<sub>0</sub> :   =   C)H<sub>0</sub> : μ<sub>x</sub> - μ<sub>y</sub> = 3.4 D)H<sub>0</sub> : μ<sub>x</sub> - μ<sub>y</sub> = 0
=
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Two samples each of size 20 are taken from independent populations assumed to be normally distributed with equal variances.The first sample has a mean of 43.5 and standard deviation of 4.1 while the second sample has a mean of 40.1 and standard deviation of 3.2.A researcher would like to test if there is a difference between the population means at the 0.05 significance level. State the null hypothesis.</strong> A)H<sub>0</sub> : P<sub>x</sub> = P<sub>y</sub> B)H<sub>0</sub> :   =   C)H<sub>0</sub> : μ<sub>x</sub> - μ<sub>y</sub> = 3.4 D)H<sub>0</sub> : μ<sub>x</sub> - μ<sub>y</sub> = 0
C)H0 : μx - μy = 3.4
D)H0 : μx - μy = 0
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8
In hypothesis testing,such as testing the difference between two population proportions,which of the following statements is correct when the significance level is 0.05?

A)only statistics that occur with a probability of less than .95 when H0 is true are sufficient evidence to reject H0.
B)only statistics that occur with a probability of less than .05 when H0 is true are sufficient evidence to reject H0.
C)only statistics that occur with a probability of .95 or more when H0 is true are sufficient evidence to reject H0.
D)only statistics that occur with a probability of .05 or more when H0 is true are sufficient evidence to reject H0.
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9
The F distribution is constructed as the ratio of two random variables following a ________ distribution.

A)normal
B)chi-square
C)Student's t
D)Poisson
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10
The t test for the mean difference between two related populations assumes that the:

A)population distribution of differences are approximately normal.
B)population sizes are equal.
C)sample variances are equal.
D)sample sizes are small.
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11
Which of the following is an appropriate null hypothesis?

A)H0 : μx - μy ≠ 0
B)H0 : Px > Py
C)H0 : μx - μy < 0
D)H0 : σ2x 2y
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12
When testing for the difference between the means of two normal populations using two independent samples with equal variances and with sizes of nx = 20 and ny = 15,what is the number of degrees of freedom for the t test statistic?

A)35
B)33
C)18
D)13
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13
What is the critical value(s)for this test? (Hint: Use Excel to find the critical value(s))

A)± 2.093
B)± 2.024
C)-1.729
D)-1.304
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14
If testing for the difference between the means of two related populations,with samples of sizes n1 = n2 = n,where the variance of the differences is unknown,what is the number of degrees of freedom?

A)n - 1
B)2n - 1
C)2(n - 1)
D)n - 2
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15
What is the pooled variance?

A)3.650
B)5.201
C)13.525
D)12.849
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16
What can the researcher conclude?

A)There is not sufficient evidence to reject the null hypothesis;the population means and standard deviations are equal.
B)The two population means are equal but the standard deviations are different.
C)There is sufficient evidence to reject the null hypothesis and conclude that the two population means are different.
D)The answer cannot be determined without calculating the p-value and comparing it to the significance level.
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17
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 of the equality of variances from 2 independent populations
B)a test of the difference between the means of 2 related populations
C)a test of the difference between the means of 2 independent populations
D)a test for of equality of variances from two related populations.
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18
When testing for the difference between the means of two independent populations,with samples of sizes n1 and n2,where the population variances are unknown but assumed to be equal,what is the number of degrees of freedom?

A)n - 1
B)n1 + n2 - 1
C)n1 + n2 - 2
D)n - 2
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19
When testing for the difference between the means of two independent populations with equal variances and with samples of sizes n1 = 20 and n2 = 20,what is the number of degrees of freedom?

A)40
B)38
C)20
D)19
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20
The t test for the difference between the means of two independent populations assumes that the respective:

A)sample sizes are equal.
B)sample variances are equal.
C)populations are approximately normal.
D)population variances are known.
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21
What is the value of α,if the cutoff point for an F distribution F9,23 = 2.32?

A)0.025
B)0.1
C)0.01
D)0.05
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22
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.   The most accurate statement that can be made about the p-value for testing whether there is a difference in the population variances for preservatives A and B is:</strong> A)p-value > 0.05 B)p-value = 0.00 C)p-value < 0.01 D)0.01 < p-value < 0.05
The most accurate statement that can be made about the p-value for testing whether there is a difference in the population variances for preservatives A and B is:

A)p-value > 0.05
B)p-value = 0.00
C)p-value < 0.01
D)0.01 < p-value < 0.05
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23
What conclusion can be made about the effectiveness of the diet,based on the test,at the 0.05 level of significance?

A)The diet is not effective.
B)The diet is effective.
C)The sample size is relatively small to make a conclusion.
D)A conclusion cannot be drawn without calculating the p-value.
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24
Consider a standard model with a random sample of nx observations from a population with a proportion Px of successes and a second independent random sample of ny observations from a population with a proportion Py of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?

A)Z = <strong>Consider a standard model with a random sample of n<sub>x</sub> observations from a population with a proportion P<sub>x</sub> of successes and a second independent random sample of n<sub>y</sub> observations from a population with a proportion P<sub>y</sub> of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?</strong> A)Z =   B)Z =   C)Z =   D)Z =
B)Z = <strong>Consider a standard model with a random sample of n<sub>x</sub> observations from a population with a proportion P<sub>x</sub> of successes and a second independent random sample of n<sub>y</sub> observations from a population with a proportion P<sub>y</sub> of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?</strong> A)Z =   B)Z =   C)Z =   D)Z =
C)Z = <strong>Consider a standard model with a random sample of n<sub>x</sub> observations from a population with a proportion P<sub>x</sub> of successes and a second independent random sample of n<sub>y</sub> observations from a population with a proportion P<sub>y</sub> of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?</strong> A)Z =   B)Z =   C)Z =   D)Z =
D)Z = <strong>Consider a standard model with a random sample of n<sub>x</sub> observations from a population with a proportion P<sub>x</sub> of successes and a second independent random sample of n<sub>y</sub> observations from a population with a proportion P<sub>y</sub> of successes.Which of the following formulas illustrates normally distributed random variables when testing the difference between two population proportions?</strong> A)Z =   B)Z =   C)Z =   D)Z =
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25
What is the value of α,if the cutoff point for an F distribution F4,8 = 7.01?

A)0.025
B)0.1
C)0.05
D)0.01
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26
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.   What assumptions are necessary for a comparison of the population variances to be valid?</strong> A)At least one of the population variances is known. B)The samples are correlated. C)One of the samples follows normal distribution and the other follows F distribution. D)Both sampled populations are normally distributed.
What assumptions are necessary for a comparison of the population variances to be valid?

A)At least one of the population variances is known.
B)The samples are correlated.
C)One of the samples follows normal distribution and the other follows F distribution.
D)Both sampled populations are normally distributed.
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27
In testing for differences between the means of two independent populations,the null hypothesis is:

A)H0 : μ1 - μ2 ≠ 1.
B)H0 : μ1 - μ2 = 0.
C)H0 : μ1 - μ2 > 0.
D)H0 : μ1 - μ2 < 1.
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28
The statistical distribution that is used for testing the difference between two population variances is the:

A)Student's t distribution.
B)standard normal distribution.
C)binomial distribution.
D)distribution.
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29
Consider independent random samples from two normally distributed populations.The first population has a mean of μx and a variance of <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =   and we obtain a random sample of size nx.The second population has a mean of μy and a variance of <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =
And we obtain a random sample of size ny.The sample means are denoted by <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =
And <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =
)Which of the following formulae calculates the random variable,Z?

A)Z = <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =
B)Z = <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =
C)Z = <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =
D)Z = <strong>Consider independent random samples from two normally distributed populations.The first population has a mean of μ<sub>x</sub> and a variance of   and we obtain a random sample of size n<sub>x</sub>.The second population has a mean of μ<sub>y</sub> and a variance of   And we obtain a random sample of size n<sub>y</sub>.The sample means are denoted by   And   )Which of the following formulae calculates the random variable,Z?</strong> A)Z =   B)Z =   C)Z =   D)Z =
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30
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.   The numerator and denominator degrees of freedom associated with the test statistic for determining if there is a difference in the population variances for preservatives A and B are,respectively:</strong> A)16 and 12 B)12 and 16 C)15 and 11 D)11 and 15
The numerator and denominator degrees of freedom associated with the test statistic for determining if there is a difference in the population variances for preservatives A and B are,respectively:

A)16 and 12
B)12 and 16
C)15 and 11
D)11 and 15
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31
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
To investigate the effectiveness of a diet,a random sample of 16 female patients is drawn from a population of adult females using the diet.The weight of each individual in the sample is taken at the start and at the end of the diet.Assume that the population of differences in weight before and after the diet follows a normal distribution.Suppose the mean decrease in weights over all 16 subjects in the study is 4.0 pounds with the standard deviation of differences computed as 6.4 pounds.Let µx - µy = mean weight before the diet - mean weight after the diet.
In order to test if the diet is effective,what is the value of the test statistic?

A)2.5
B)2.0
C)1.8
D)1.3
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32
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
To investigate the effectiveness of a diet,a random sample of 16 female patients is drawn from a population of adult females using the diet.The weight of each individual in the sample is taken at the start and at the end of the diet.Assume that the population of differences in weight before and after the diet follows a normal distribution.Suppose the mean decrease in weights over all 16 subjects in the study is 4.0 pounds with the standard deviation of differences computed as 6.4 pounds.Let µx - µy = mean weight before the diet - mean weight after the diet.
In order to test if the diet is effective,what is the appropriate statistical test?

A)test of the difference between two normal population means using independent samples with known population variances
B)test of the difference between two normal population means using independent samples with unknown,but assumed to be equal,population variances
C)test of the difference between two normal population means using independent samples with unknown,but not equal,population variances
D)test of the difference between two normal population means using dependent (matched pairs)samples
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33
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
To investigate the effectiveness of a diet,a random sample of 16 female patients is drawn from a population of adult females using the diet.The weight of each individual in the sample is taken at the start and at the end of the diet.Assume that the population of differences in weight before and after the diet follows a normal distribution.Suppose the mean decrease in weights over all 16 subjects in the study is 4.0 pounds with the standard deviation of differences computed as 6.4 pounds.Let µx - µy = mean weight before the diet - mean weight after the diet.
In order to test if the diet is effective,what is the appropriate alternative hypothesis?

A)H1 : μd < 0
B)H1 : μd > 0
C)H1 : μd = 0
D)H1 : μd ≠ 0
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34
Given the following information, <strong>Given the following information,   = 4,   = 6,n<sub>1</sub> = 15,n<sub>2</sub> = 20,calculate the degrees of freedom that should be used in the pooled-variance t test.</strong> A)35 B)33 C)31 D)29 = 4, <strong>Given the following information,   = 4,   = 6,n<sub>1</sub> = 15,n<sub>2</sub> = 20,calculate the degrees of freedom that should be used in the pooled-variance t test.</strong> A)35 B)33 C)31 D)29
= 6,n1 = 15,n2 = 20,calculate the degrees of freedom that should be used in the pooled-variance t test.

A)35
B)33
C)31
D)29
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35
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose two food 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 16 cuts of fresh meat are treated with preservative A and another 12 cuts of meat are treated with preservative B.The number of hours until spoilage begins is recorded for each of the 28 cuts of meat.The results are summarized in the table below.   The value of the test statistic for determining if there is a difference in the population variances for preservatives A and B is equal to:</strong> A)0.784 B)1.625 C)1.275 D)1.129
The value of the test statistic for determining if there is a difference in the population variances for preservatives A and B is equal to:

A)0.784
B)1.625
C)1.275
D)1.129
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36
What is the cutoff point for an F distribution with 10 numerator degrees of freedom and 13 denominator degrees of freedom at α = 0.01?

A)4.93
B)4.71
C)4.10
D)2.67
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37
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
To investigate the effectiveness of a diet,a random sample of 16 female patients is drawn from a population of adult females using the diet.The weight of each individual in the sample is taken at the start and at the end of the diet.Assume that the population of differences in weight before and after the diet follows a normal distribution.Suppose the mean decrease in weights over all 16 subjects in the study is 4.0 pounds with the standard deviation of differences computed as 6.4 pounds.Let µx - µy = mean weight before the diet - mean weight after the diet.
In order to test if the diet is effective,what is the appropriate critical value(s)at the 0.05 level of significance?

A)2.131
B)2.120
C)1.753
D)1.746
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38
The test statistic for the equality of two population variances is based on the:

A)ratio of the two sample variances.
B)difference between the two sample variances.
C)difference between the two population variances.
D)difference between the sample variances divided by the difference between the sample means.
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39
When testing for the difference between two population variances with sample sizes of n1 = 10 and n2 = 12,what is (are)the number (s)of degrees of freedom?

A)10 and 12
B)9 and 11
C)22
D)20
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40
What is the cutoff point for an F distribution with 20 numerator degrees of freedom and 30 denominator degrees of freedom at α = 0.05? (Hint: Round your answer to 2 decimal places. )

A)1.93
B)2.04
C)2.55
D)2.07
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41
Assume that we have independent random samples of size nx and nyobservations from normal populations with means μx and μy and unequal variances.The sample variances <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =   and <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =
Are used and the means are <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =
And <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =
)Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?

A)ν = <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =
B)ν = <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =
C)ν = <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =
D)ν = <strong>Assume that we have independent random samples of size n<sub>x</sub> and n<sub>y</sub>observations from normal populations with means μ<sub>x</sub> and μ<sub>y</sub> and unequal variances.The sample variances   and   Are used and the means are   And   )Which of the following formulae calculates the degree of freedom,v,for the Student's t statistic where variance is unknown and considered unequal?</strong> A)ν =   B)ν =   C)ν =   D)ν =
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42
When testing for differences between the means of two independent populations,only a t-test can be used.
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43
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A manager is considering the purchase of new production equipment to improve the output of the plant.Suppose the equipment from two suppliers is extensively tested in multiple production runs.A total of 20 runs are recorded on Supplier A's equipment and another 15 runs are reported from Supplier B's equipment.The volume produced is recorded for each of the 35 runs.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A manager is considering the purchase of new production equipment to improve the output of the plant.Suppose the equipment from two suppliers is extensively tested in multiple production runs.A total of 20 runs are recorded on Supplier A's equipment and another 15 runs are reported from Supplier B's equipment.The volume produced is recorded for each of the 35 runs.The results are summarized in the table below.   The value of the test statistic for determining if there is a difference in the population variances for Supplier A and B is equal to:</strong> A)0.44 B)1.5 C)2.25 D)0.67
The value of the test statistic for determining if there is a difference in the population variances for Supplier A and B is equal to:

A)0.44
B)1.5
C)2.25
D)0.67
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44
A null hypothesis of the difference between two population proportions is rejected at the 5% level,but not at the 2.5% level.This means that the p-value of the test is between 0.025 and 0.05.
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45
Suppose that a t test of H0 : μ1 - μ2 = 0 against H1 : μ1 - μ2 ≠ 0 is based on 15 degrees of freedom.If the calculated value of the test statistic is t = -1.75,then the p-value for this test is approximately 0.10.
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46
In a hypothesis test of the difference between two population means,if the probability of Type II error is 0.25,then:

A)the probability of rejecting H0,given that H0 is false is 0.75.
B)the probability of Type I error is 0.75.
C)the probability of rejecting H0,given that H0 is true,is 0.75.
D)the probability of accepting H1,given that H0 is true is 0.75.
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47
If two population variances are known,the test for differences in the two population means does not require the populations to be normally distributed if the sample sizes are large.
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48
If the null hypothesis H0 : μx - μy ≤ 0 is rejected against the alternative H1 : μx - μy > 0 at the 5% level of significance,then using the same data,it must be rejected against that alternative at the 1% level.
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49
For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:

A)F = <strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =
*
<strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =
B)F = <strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =
C)Z = <strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =
D)F = <strong>For two independent random samples that each follows a normal distribution,if the population variances are equal,then the random variable F is calculated using the formula:</strong> A)F =   *   B)F =   C)Z =   D)F =
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50
The p-value of testing H0 : Px - Py = 0 against H1 : Px - Py ≠ 0 is the probability that the null hypothesis is true.
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51
For two independent random samples with nx and ny observations,and each following a normal distribution,which of the following would be the F distribution degrees of freedom in the numerator?

A)nx - 1
B)nx + 1
C)1 - <strong>For two independent random samples with n<sub>x</sub> and n<sub>y</sub> observations,and each following a normal distribution,which of the following would be the F distribution degrees of freedom in the numerator?</strong> A)n<sub>x</sub> - 1 B)n<sub>x</sub> + 1 C)1 -   D)n<sub>y</sub> - 1
D)ny - 1
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52
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Are medical students more motivated than law students? A randomly selected group of each were administered a survey of attitudes toward Life,which measures motivation for upward mobility.The scores are summarized below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Are medical students more motivated than law students? A randomly selected group of each were administered a survey of attitudes toward Life,which measures motivation for upward mobility.The scores are summarized below.   Judging from the way the data were collected,which test would likely be most appropriate to employ?</strong> A)independent samples Z-test for the difference in means B)matched pairs t-test for mean difference C)pooled-variance t-test for the difference in means D)matched pairs Z-test for mean difference
Judging from the way the data were collected,which test would likely be most appropriate to employ?

A)independent samples Z-test for the difference in means
B)matched pairs t-test for mean difference
C)pooled-variance t-test for the difference in means
D)matched pairs Z-test for mean difference
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53
State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.

A)H0 : μM - μL ≥ 0 versus H1 : μM - μL < 0
B)H0 : μM - μL = 0 versus H1 : μM - μL ≠ 0
C)H0 : μM - μL ≤ 0 versus H1 : μM - μL > 0
D)H0 : <strong>State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.</strong> A)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≥ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> < 0 B)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> = 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≠ 0 C)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≤ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> > 0 D)H<sub>0</sub> :   <sub>M</sub> -   <sub>L</sub> = 0 versus H<sub>1</sub> :   <sub>M</sub> -   <sub>L</sub> ≠ 0
M -
<strong>State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.</strong> A)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≥ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> < 0 B)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> = 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≠ 0 C)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≤ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> > 0 D)H<sub>0</sub> :   <sub>M</sub> -   <sub>L</sub> = 0 versus H<sub>1</sub> :   <sub>M</sub> -   <sub>L</sub> ≠ 0
L = 0 versus H1 :
<strong>State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.</strong> A)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≥ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> < 0 B)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> = 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≠ 0 C)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≤ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> > 0 D)H<sub>0</sub> :   <sub>M</sub> -   <sub>L</sub> = 0 versus H<sub>1</sub> :   <sub>M</sub> -   <sub>L</sub> ≠ 0
M -
<strong>State the null and alternative hypotheses to determine if the mean score of medical students differs from the mean score of law students.</strong> A)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≥ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> < 0 B)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> = 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≠ 0 C)H<sub>0</sub> : μ<sub>M</sub> - μ<sub>L</sub> ≤ 0 versus H<sub>1</sub> : μ<sub>M</sub> - μ<sub>L</sub> > 0 D)H<sub>0</sub> :   <sub>M</sub> -   <sub>L</sub> = 0 versus H<sub>1</sub> :   <sub>M</sub> -   <sub>L</sub> ≠ 0
L ≠ 0
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54
Assuming the independent samples procedure was used,which of the following is the correct test statistic.

A)Z = <strong>Assuming the independent samples procedure was used,which of the following is the correct test statistic.</strong> A)Z =   B)Z =   C)Z =   D)Z =
B)Z = <strong>Assuming the independent samples procedure was used,which of the following is the correct test statistic.</strong> A)Z =   B)Z =   C)Z =   D)Z =
C)Z = <strong>Assuming the independent samples procedure was used,which of the following is the correct test statistic.</strong> A)Z =   B)Z =   C)Z =   D)Z =
D)Z = <strong>Assuming the independent samples procedure was used,which of the following is the correct test statistic.</strong> A)Z =   B)Z =   C)Z =   D)Z =
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55
The ________ is constructed as the ratio of two chi-square random variables,each divided by its degrees of freedom.

A)chi-square distribution
B)normal distribution
C)distribution
D)Student's t distribution
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56
Hypothesis tests that use the F distribution do not depend on the assumption that the populations are normally distributed as long as the sample sizes are large.
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57
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A manager is considering the purchase of new production equipment to improve the output of the plant.Suppose the equipment from two suppliers is extensively tested in multiple production runs.A total of 20 runs are recorded on Supplier A's equipment and another 15 runs are reported from Supplier B's equipment.The volume produced is recorded for each of the 35 runs.The results are summarized in the table below.
<strong>THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A manager is considering the purchase of new production equipment to improve the output of the plant.Suppose the equipment from two suppliers is extensively tested in multiple production runs.A total of 20 runs are recorded on Supplier A's equipment and another 15 runs are reported from Supplier B's equipment.The volume produced is recorded for each of the 35 runs.The results are summarized in the table below.   The numerator and denominator degrees of freedom associated with the test statistic for determining if there is a difference in the population variances for Supplier A and B are,respectively:</strong> A)20 and 15. B)15 and 10. C)14 and 9. D)19 and 14.
The numerator and denominator degrees of freedom associated with the test statistic for determining if there is a difference in the population variances for Supplier A and B are,respectively:

A)20 and 15.
B)15 and 10.
C)14 and 9.
D)19 and 14.
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58
If the null hypothesis H0 : μx - μy ≥ 0 is rejected against the alternative H1 : μx - μy < 0 at the 2% level of significance,then using the same data,it must be rejected against that alternative at the 3% level.
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59
Given H1 : μx - μy < 0,the hypothesis test is a(n):

A)two-sided alternative.
B)null hypothesis.
C)one-sided test.
D)upper-tailed test.
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60
Suppose that the test statistic is Z = 1.95.Find the p-value if we assume that the alternative hypothesis is a two-tailed test (H1 : μM - μL ≠ 0).

A)0)0256
B)0)9488
C)0)0512
D)0)9744
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61
The sample size in each independent sample must be the same if we are to test for differences between the means of two independent populations.
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62
The test for the equality of two population variances assumes that each of the two populations is normally distributed.
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63
When testing for the differences between the means of two independent populations,only a two-tailed test can be used.
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64
In testing for the differences between the means of two independent populations,we assume that the 2 populations each follow a normal distribution.
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65
When the sample sizes are equal,the pooled variance of the two groups is the average of the two sample variances.
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66
When testing H0 : μ1 - μ2 = 0 against H1 : μ1 - μ2 ≠ 0,the observed value of the Z-score was found to be -2.13.The p-value for this test would be 0.4668.
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67
In testing H0 : Px - Py = 0,an estimate of the common population proportion is a weighted average of the two sample proportions,the weights being equal to the sample sizes.
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68
Repeated measurements collected from the same individuals is an example of data collected from two related populations.
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69
The F distribution is constructed as the ratio of two Student's t random variables;each divided by its degrees of freedom.
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70
When testing for differences between the means of two related populations,either a one-tailed or two-tailed test can be used.
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71
The F test used for testing the difference in two population variances is always a one-tailed test.
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72
At 5% significance level,the upper-tailed critical value of an F test with 3 degrees of freedom in the numerator and 8 degrees of freedom in the denominator is equal to 4.07.
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73
An F distribution is an example of a symmetrical distribution.
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74
To use the Student's t distribution to compare population means when the population variances are unknown and sample sizes are small,the populations are assumed to be normally distributed.
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75
In testing for differences between the means of two independent populations if the test statistic is very large,then the p-value of the test should be very small.
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76
In a random sample of 150 music industry management majors,75 rated a sense of humor as very important trait to their career performance.The same view was held by 81 of an independent random sample of 180 professional golf management majors.Test at the 5% level against a two-sided alternative the null hypothesis that the population proportions of music industry management and professional golf management majors who rate a sense of humor as very important are the same.
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77
In testing for the differences between the means of two related populations,we assume that the differences follow a t distribution.
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78
In practical applications,the F ratio is arranged in a way such that the larger sample variance is in the denominator and the smaller is in the numerator.
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79
The procedure that utilizes the normal distribution to test the difference between two population proportions is valid for all sample sizes.
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80
In testing H0 : Px - Py = 0,the p-value equals the probability,1 - β,of avoiding the Type II error of erroneously failing to reject a null hypothesis that is in fact false.
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