Deck 12: Analysis of Variance
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ملء الشاشة (f)
Deck 12: Analysis of Variance
1
Fill in the missing entries in the following partially completed one-way ANOVA table. 


2
List the assumptions for testing hypotheses that three or more means are equivalent.

3
The data below represent the weight losses for people on three different exercise programs.
If we want to test the claim that the three size categories have the same means, why don't we use three separate
hypothesis tests for

hypothesis tests for

As we increase the number of individual tests of significance, we increase the risk of finding a difference
by chance alone. That is, the risk of a type I error is too high.
by chance alone. That is, the risk of a type I error is too high.
4
Use the data in the given table and the corresponding Minitab display to test the hypothesis. The following table
entries are test scores for males and females at different times of day. Assuming no effect from the interaction
between gender and test time, test the claim that time of day does not affect test scores. Use a 0.05 significance
level.
entries are test scores for males and females at different times of day. Assuming no effect from the interaction
between gender and test time, test the claim that time of day does not affect test scores. Use a 0.05 significance
level.

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5
The following data contains task completion times, in minutes, categorized according to the gender of the
machine operator and the machine used.
Assume that two-way ANOVA is used to analyze the data. How are the ANOVA results affected if 5 minutes is
added to each completion time?
machine operator and the machine used.

added to each completion time?
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6
Why do researchers concentrate on explaining an interaction in a two-way ANOVA rather than the effects of
each factor separately?
each factor separately?
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7
Test the claim that the samples come from populations with the same mean. Assume that the populations are normally
distributed with the same variance.
At the 1% significance level, does it appear that a difference exists in the true mean weight loss produced by the three
exercise programs?
distributed with the same variance.

exercise programs?
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8

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9
Use the Minitab display to test the indicated claim. A manager records the production output of three employees who
each work on three different machines for three different days. The sample results are given below and the Minitab
results follow.
Using a 0.05 significance level, test the claim that the interaction between employee and machine has no effect on the
number of items produced.
each work on three different machines for three different days. The sample results are given below and the Minitab
results follow.

number of items produced.
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10
The following data contains task completion times, in minutes, categorized according to the gender of the machine
operator and the machine used.
Assume that two-way ANOVA is used to analyze the data. How are the ANOVA results affected if the times are
converted to hours?
operator and the machine used.

converted to hours?
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11
Use the data in the given table and the corresponding Minitab display to test the hypothesis. The following table
shows the mileage for four different cars and three different brands of gas. Assuming no effect from the
interaction between car and brand of gas, test the claim that the four cars have the same mean mileage. Use a
0.05 significance level.
shows the mileage for four different cars and three different brands of gas. Assuming no effect from the
interaction between car and brand of gas, test the claim that the four cars have the same mean mileage. Use a
0.05 significance level.

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12
Use the Minitab display to test the indicated claim. A manager records the production output of three
employees who each work on three different machines for three different days. The sample results are given
below and the Minitab results follow.
Assume that the number of items produced is not affected by an interaction between employee and machine. Using a
0.05 significance level, test the claim that the machine has no effect on the number of items produced.
employees who each work on three different machines for three different days. The sample results are given
below and the Minitab results follow.

0.05 significance level, test the claim that the machine has no effect on the number of items produced.
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13
Test the claim that the samples come from populations with the same mean. Assume that the populations are
normally distributed with the same variance. At the 0.025 significance level, test the claim that the four brands
have the same mean if the following sample results have been obtained.
normally distributed with the same variance. At the 0.025 significance level, test the claim that the four brands
have the same mean if the following sample results have been obtained.

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14
Draw an example of an F distribution and list the characteristics of the F distribution.
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15
The following results are from a statistics software package in which all of the F values and P-values are given.
Is there a significant effect from the interaction? Should you test to see if there is a significant effect due to either
A or B? If the answer is yes, is there a significant effect due to either A or B?
Is there a significant effect from the interaction? Should you test to see if there is a significant effect due to either
A or B? If the answer is yes, is there a significant effect due to either A or B?

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16
Explain the procedure for two-way analysis of variance, and how it varies depending on whether there is an
interaction between the two factors or not.
interaction between the two factors or not.
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17
The following data contains task completion times, in minutes, categorized according to the gender of the machine
operator and the machine used.
The ANOVA results lead us to conclude that the completion times are not affected by an interaction between machine
and gender, and the times are not affected by gender, but they are affected by the machine. Change the table entries so
that there is an effect from the interaction between machine and gender.
operator and the machine used.

and gender, and the times are not affected by gender, but they are affected by the machine. Change the table entries so
that there is an effect from the interaction between machine and gender.
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18
The following data contains task completion times, in minutes, categorized according to the gender of the machine
operator and the machine used.
The ANOVA results lead us to conclude that the completion times are not affected by an interaction between machine
and gender, and the times are not affected by gender, but they are affected by the machine. Change the table entries so
that there is no effect from the interaction between machine and gender, but there is an effect from the gender of the
operator.
operator and the machine used.

and gender, and the times are not affected by gender, but they are affected by the machine. Change the table entries so
that there is no effect from the interaction between machine and gender, but there is an effect from the gender of the
operator.
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19
Test the claim that the samples come from populations with the same mean. Assume that the populations are
normally distributed with the same variance. At the 0.025 significance level, test the claim that the three brands
have the same mean if the following sample results have been obtained.
normally distributed with the same variance. At the 0.025 significance level, test the claim that the three brands
have the same mean if the following sample results have been obtained.

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20
Use the data in the given table and the corresponding Minitab display to test the hypothesis. The following table
shows the mileage for four different cars and three different brands of gas. Assuming no effect from the
interaction between car and brand of gas, test the claim that the three brands of gas provide the same mean gas
mileage. Use a 0.05 significance level.
shows the mileage for four different cars and three different brands of gas. Assuming no effect from the
interaction between car and brand of gas, test the claim that the three brands of gas provide the same mean gas
mileage. Use a 0.05 significance level.

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21
List the assumptions for testing hypotheses that three or more means are equivalent.
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22
Why is it unnecessary to conduct multiple comparison tests after a nonsignificant F test statistic results?
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23
Test the claim that the samples come from populations with the same mean. Assume that the populations are
normally distributed with the same variance. At the 0.025 significance level, test the claim that the four brands
have the same mean if the following sample results have been obtained.
normally distributed with the same variance. At the 0.025 significance level, test the claim that the four brands
have the same mean if the following sample results have been obtained.

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24
The test statistics for one-way ANOVA is
Describe variance within samples and
variance between samples. What relationship does variance within samples and variance between samples
would result in the conclusion that the value of F is significant?

variance between samples. What relationship does variance within samples and variance between samples
would result in the conclusion that the value of F is significant?
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25
The following data shows annual income, in thousands of dollars, categorized according to the two factors of
gender and level of education. Assume that incomes are not affected by an interaction between gender and level
of education, and test the null hypothesis that level of education has no effect on income. Use a 0.05 significance
level.
gender and level of education. Assume that incomes are not affected by an interaction between gender and level
of education, and test the null hypothesis that level of education has no effect on income. Use a 0.05 significance
level.

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26
Assume that the number of items produced is not affected by an interaction between employee and machine.
Using a 0.05 significance level, test the claim that the machine has no effect on the number of items produced.
Using a 0.05 significance level, test the claim that the interaction between employee and machine has no effect on the
number of items produced.
Using a 0.05 significance level, test the claim that the machine has no effect on the number of items produced.

number of items produced.
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27
The following data shows the yield, in bushels per acre, categorized according to three varieties of corn and
three different soil conditions. Assume that yields are not affected by an interaction between variety and soil
conditions, and test the null hypothesis that variety has no effect on yield. Use a 0.05 significance level.
three different soil conditions. Assume that yields are not affected by an interaction between variety and soil
conditions, and test the null hypothesis that variety has no effect on yield. Use a 0.05 significance level.

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28
The data below represent the weight losses for people on three diets.
If we want to test the claim that the three size categories have the same means, why don't we use three separate
hypothesis tests for

hypothesis tests for

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29
Test the claim that the samples come from populations with the same mean. Assume that the populations are
normally distributed with the same variance. Given the sample data below, test the claim that the populations
have the same mean. Use a significance level of 0.05.
normally distributed with the same variance. Given the sample data below, test the claim that the populations
have the same mean. Use a significance level of 0.05.

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30
Test the claim that the samples come from populations with the same mean. Assume that the populations are
normally distributed with the same variance. At the 0.025 significance level, test the claim that the three brands
have the same mean if the following sample results have been obtained.
normally distributed with the same variance. At the 0.025 significance level, test the claim that the three brands
have the same mean if the following sample results have been obtained.

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31
Use the data in the given table and the corresponding Minitab display to test the hypothesis. The following
Minitab display results from a study in which three different teachers taught calculus classes of five different
sizes. The class average was recorded for each class. Assuming no effect from the interaction between teacher
and class size, test the claim that the teacher has no effect on the class average. Use a 0.05 significance level.
Minitab display results from a study in which three different teachers taught calculus classes of five different
sizes. The class average was recorded for each class. Assuming no effect from the interaction between teacher
and class size, test the claim that the teacher has no effect on the class average. Use a 0.05 significance level.

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32
Explain the procedure for two-way analysis of variance varies depending on whether there is an interaction
between the two factors or not.
between the two factors or not.
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33
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same
Mean. Identify the p-value.
A) 6.25
B) 1.6
C) 10.00
D) 0.264
Mean. Identify the p-value.

A) 6.25
B) 1.6
C) 10.00
D) 0.264
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34
Use the data in the given table and the corresponding Minitab display to test the hypothesis. The following table shows
the mileage for four different cars and three different brands of gas. Assuming no effect from the interaction between
car and brand of gas, test the claim that the four cars have the same mean mileage. Use a 0.05 significance level.
the mileage for four different cars and three different brands of gas. Assuming no effect from the interaction between
car and brand of gas, test the claim that the four cars have the same mean mileage. Use a 0.05 significance level.

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35
Fill in the missing entries in the following partially completed one-way ANOVA table. 

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36
Test the claim that the samples come from populations with the same mean. Assume that the populations are
normally distributed with the same variance. The data below represent the weight losses for people on three
different exercise programs.
At the 1% significance level, does it appear that a difference exists in the true mean weight loss produced by the three
exercise programs?
normally distributed with the same variance. The data below represent the weight losses for people on three
different exercise programs.

exercise programs?
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37
Use the Minitab display to test the indicated claim. A manager records the production output of three
employees who each work on three different machines for three different days. The sample results are given
below and the Minitab results follow.
Assume that the number of items produced is not affected by an interaction between employee and machine.
Using a 0.05 significance level, test the claim that the machine has no effect on the number of items produced.
employees who each work on three different machines for three different days. The sample results are given
below and the Minitab results follow.

Using a 0.05 significance level, test the claim that the machine has no effect on the number of items produced.
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38
Use the Minitab display to test the indicated claim. A manager records the production output of three
employees who each work on three different machines for three different days. The sample results are given
below and the Minitab results follow.
Assume that the number of items produced is not affected by an interaction between employee and machine. Using a
0.05 significance level, test the claim that the choice of employee has no effect on the number of items produced.
employees who each work on three different machines for three different days. The sample results are given
below and the Minitab results follow.

0.05 significance level, test the claim that the choice of employee has no effect on the number of items produced.
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39
Why do researchers concentrate on explaining an interaction in a two-way ANOVA rather than the effects of
each factor separately?
each factor separately?
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40

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41
The data below represent the weight losses for people on three different exercise programs.
If we want to test the claim that the three size categories have the same means, why don't we use three separate hypothesis tests for
?
A) Actually, we do want to use three separate hypothesis tests.
B) The risk of type II error increases and becomes too high.
C) A hypothesis test for comparing two means does not exist.
D) The risk of type I error increases and becomes too high.


A) Actually, we do want to use three separate hypothesis tests.
B) The risk of type II error increases and becomes too high.
C) A hypothesis test for comparing two means does not exist.
D) The risk of type I error increases and becomes too high.
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42
ANOVA requires usage of the ________ distribution.
A) F
B) normal
C) t
D) chi-square
A) F
B) normal
C) t
D) chi-square
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43
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance
level in testing the null hypothesis that the different samples come from populations with the same mean.
Identify the value of the test statistic.
A) 5.17
B) 4.500
C) 13.500
D) 0.011
level in testing the null hypothesis that the different samples come from populations with the same mean.
Identify the value of the test statistic.

A) 5.17
B) 4.500
C) 13.500
D) 0.011
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44
Use the Minitab display to test the indicated claim. A manager records the production output of three employees who each work on three different machines for three different days. The sample results are given
Below and the Minitab results follow.
Using a 0.05 significance level, test the claim that the interaction between employee and machine has no effect on the
Number of items produced. State your conclusion about the null hypothesis and the claim.
A) Fail to reject the null hypothesis. There appears to be an interaction effect.
B) Fail to reject the null hypothesis. There does not appear to be an interaction effect.
C) Reject the null hypothesis. There appears to be an interaction effect.
D) Reject the null hypothesis. There does not appear to be an interaction effect.
Below and the Minitab results follow.

Number of items produced. State your conclusion about the null hypothesis and the claim.
A) Fail to reject the null hypothesis. There appears to be an interaction effect.
B) Fail to reject the null hypothesis. There does not appear to be an interaction effect.
C) Reject the null hypothesis. There appears to be an interaction effect.
D) Reject the null hypothesis. There does not appear to be an interaction effect.
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45
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same
Mean. Identify the P-value.
A) 0.011
B) 0.870
C) 5.17
D) 4.500
Mean. Identify the P-value.

A) 0.011
B) 0.870
C) 5.17
D) 4.500
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46
At the same time each day, a researcher records the temperature in each of three greenhouses. The table shows the temperatures in degrees Fahrenheit recorded for one week.
What type of test would you use to test the claim that the average temperature is the same in each greenhouse at a 0.05
Significance level?
A) Two-way ANOVA
B) Test of Independence
C) One-way ANOVA
D) Goodness-of-Fit

Significance level?
A) Two-way ANOVA
B) Test of Independence
C) One-way ANOVA
D) Goodness-of-Fit
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47
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same
Mean. Identify the P-value.
A) 10.00
B) 0.264
C) 1.6
D) 6.25
Mean. Identify the P-value.

A) 10.00
B) 0.264
C) 1.6
D) 6.25
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48
There is a(n) ________ between two factors if the effect of one of the factors changes for different categories of the other factor.
A) variation
B) interaction
C) transformation
D) category effect
A) variation
B) interaction
C) transformation
D) category effect
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49

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50
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance
level in testing the null hypothesis that the different samples come from populations with the same mean.
Find the critical value.
A) 5.42
B) 3.24
C) 3.06
D) 8.70
level in testing the null hypothesis that the different samples come from populations with the same mean.
Find the critical value.

A) 5.42
B) 3.24
C) 3.06
D) 8.70
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51
One way analysis of variance is used to test for ________.
A) equality of three of more population variances
B) equality of three or more population means
C) equality of three or more sample means
D) equality of three or more population proportions
A) equality of three of more population variances
B) equality of three or more population means
C) equality of three or more sample means
D) equality of three or more population proportions
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52
Identify the value of the test statistic. 
A) 10.00
B) 30
C) 0.264
D) 1.6

A) 10.00
B) 30
C) 0.264
D) 1.6
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53
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same
Mean. What can you conclude about the equality of the population means?
A) Accept the null hypothesis since the P-value is greater than the significance level.
B) Reject the null hypothesis since the P-value is greater than the significance level.
C) Accept the null hypothesis since the P-value is less than the significance level.
D) Reject the null hypothesis since the P-value is less than the significance level.
Mean. What can you conclude about the equality of the population means?

A) Accept the null hypothesis since the P-value is greater than the significance level.
B) Reject the null hypothesis since the P-value is greater than the significance level.
C) Accept the null hypothesis since the P-value is less than the significance level.
D) Reject the null hypothesis since the P-value is less than the significance level.
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54
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same
Mean. Find the critical value.
A) 1.6
B) 4.07
C) 8.85
D) 7.59
Mean. Find the critical value.

A) 1.6
B) 4.07
C) 8.85
D) 7.59
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55
Select an appropriate null hypothesis for a one way analysis of variance test. 

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56
At the same time each day, a researcher records the temperature in each of three classrooms. The table shows the temperatures in degrees Fahrenheit recorded for one week.
How are the analysis of variance results affected if the same constant is added to every one of the original sample
Values?
A) The test statistic is divided by the value of the constant.
B) The test statistic increases by a factor of the constant.
C) The test statistic increases by the value of the constant.
D) The results are not affected.

Values?
A) The test statistic is divided by the value of the constant.
B) The test statistic increases by a factor of the constant.
C) The test statistic increases by the value of the constant.
D) The results are not affected.
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57
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance
level in testing the null hypothesis that the different samples come from populations with the same mean.
Identify the p-value.
A) 5.17
B) 0.870
C) 4.500
D) 0.011
level in testing the null hypothesis that the different samples come from populations with the same mean.
Identify the p-value.

A) 5.17
B) 0.870
C) 4.500
D) 0.011
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58
Select a property of the F distribution.
A) The exact shape of the F distribution depends on two different degrees of freedom.
B) The total area under the curve is equal to 2.
C) Values of the F distribution can be negative.
D) It is symmetric.
A) The exact shape of the F distribution depends on two different degrees of freedom.
B) The total area under the curve is equal to 2.
C) Values of the F distribution can be negative.
D) It is symmetric.
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59
Use the Minitab display to test the indicated claim. A manager records the production output of three employees who each work on three different machines for three different days. The sample results are given
Below and the Minitab results follow.
Assume that the number of items produced is not affected by an interaction between employee and machine. Using a
0)05 significance level, test the claim that the choice of employee has no effect on the number of items produced. What is
The value of the test statistic, F?
A) F = 0.1898
B) F = 5.2692
C) F = 0.2687
D) F = 53.7172
Below and the Minitab results follow.

0)05 significance level, test the claim that the choice of employee has no effect on the number of items produced. What is
The value of the test statistic, F?
A) F = 0.1898
B) F = 5.2692
C) F = 0.2687
D) F = 53.7172
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60
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same
Mean. Identify the value of the test statistic.
A) 5.17
B) 0.011
C) 4.500
D) 13.500
Mean. Identify the value of the test statistic.

A) 5.17
B) 0.011
C) 4.500
D) 13.500
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61
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance
level in testing the null hypothesis that the different samples come from populations with the same mean.
Identify the value of the test statistic.
A) 30
B) 0.264
C) 1.6
D) 10.00
level in testing the null hypothesis that the different samples come from populations with the same mean.
Identify the value of the test statistic.

A) 30
B) 0.264
C) 1.6
D) 10.00
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62
At the same time each day, a researcher records the temperature in each of three greenhouses. The table shows
the temperatures in degrees Fahrenheit recorded for one week.
i) Use a 0.05 significance level to test the claim that the average temperature is the same in each greenhouse.
ii) How are the analysis of variance results affected if the same constant is added to every one of the original
sample values?
the temperatures in degrees Fahrenheit recorded for one week.

ii) How are the analysis of variance results affected if the same constant is added to every one of the original
sample values?
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63
The data below represent the weight losses for people on three different exercise programs.
At the 1% significance level, does it appear that a difference exists in the true mean weight loss produced by the
three exercise programs?

three exercise programs?
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64
Use the data given below to verify that the t test for independent samples and the ANOVA method are
equivalent.
i) Use a t test with a 0.05 significance level to test the claim that the two samples come from populations with
the same means.
ii) Use the ANOVA method with a 0.05 significance level to test the same claim.
iii) Verify that the squares of the t test statistic and the critical value are equal to the F test statistic and critical
value.
equivalent.

the same means.
ii) Use the ANOVA method with a 0.05 significance level to test the same claim.
iii) Verify that the squares of the t test statistic and the critical value are equal to the F test statistic and critical
value.
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65
Use the data given below to verify that the t test for independent samples and the ANOVA method are
equivalent.
i) Use a t test with a 0.05 significance level to test the claim that the two samples come from populations with
the same means.
ii) Use the ANOVA method with a 0.05 significance level to test the same claim.
iii) Verify that the squares of the t test statistic and the critical value are equal to the F test statistic and critical
value.
equivalent.

the same means.
ii) Use the ANOVA method with a 0.05 significance level to test the same claim.
iii) Verify that the squares of the t test statistic and the critical value are equal to the F test statistic and critical
value.
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66
Four independent samples of 100 values each are randomly drawn from populations that are normally
distributed with equal variances. You wish to test the claim that
i) If you test the individual claims
, how many ways can you pair off
the 4 means?
ii) Assume that the tests are independent and that for each test of equality between two means, there is a 0.99
probability of not making a type I error. If all possible pairs of means are tested for equality, what is the
probability of making no type I errors?
iii) If you use analysis of variance to test the claim that
at the 0.01 level of significance, what
is the probability of not making a type I error?
distributed with equal variances. You wish to test the claim that


the 4 means?
ii) Assume that the tests are independent and that for each test of equality between two means, there is a 0.99
probability of not making a type I error. If all possible pairs of means are tested for equality, what is the
probability of making no type I errors?
iii) If you use analysis of variance to test the claim that

is the probability of not making a type I error?
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67
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance
level in testing the null hypothesis that the different samples come from populations with the same mean.
What can you conclude about the equality of the population means?
A) Accept the null hypothesis since the p-value is less than the significance level.
B) Accept the null hypothesis since the p-value is greater than the significance level.
C) Reject the null hypothesis since the p-value is less than the significance level.
D) Reject the null hypothesis since the p-value is greater than the significance level.
level in testing the null hypothesis that the different samples come from populations with the same mean.
What can you conclude about the equality of the population means?

A) Accept the null hypothesis since the p-value is less than the significance level.
B) Accept the null hypothesis since the p-value is greater than the significance level.
C) Reject the null hypothesis since the p-value is less than the significance level.
D) Reject the null hypothesis since the p-value is greater than the significance level.
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68

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69
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance
level in testing the null hypothesis that the different samples come from populations with the same mean.
Identify the p-value.
A) 0.264
B) 6.25
C) 10.00
D) 1.6
level in testing the null hypothesis that the different samples come from populations with the same mean.
Identify the p-value.

A) 0.264
B) 6.25
C) 10.00
D) 1.6
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70
A consumer magazine wants to compare the lifetimes of ballpoint pens of three different types. The magazine
takes a random sample of pens of each type in the following table.
Do the data indicate that there is a difference in mean lifetime for the three brands of ballpoint pens? Use 
takes a random sample of pens of each type in the following table.


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71
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance
level in testing the null hypothesis that the different samples come from populations with the same mean.
Find the critical value.
A) 8.85
B) 7.59
C) 4.07
D) 1.6
level in testing the null hypothesis that the different samples come from populations with the same mean.
Find the critical value.

A) 8.85
B) 7.59
C) 4.07
D) 1.6
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72
Fill in the missing entries in the following partially completed one-way ANOVA table. 

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73
At the 0.025 significance level, test the claim that the three brands have the same mean if the following sample
results have been obtained.
results have been obtained.

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74
Given the sample data below, test the claim that the populations have the same mean. Use a significance level of
0.05.
0.05.

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75
Random samples of four different models of cars were selected and the gas mileage of each car was measured.
The results are shown below.
Test the claim that the four different models have the same population mean. Use a significance level of 0.05.
The results are shown below.

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76
Fill in the missing entries in the following partially completed one-way ANOVA table. 

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77
At the 0.025 significance level, test the claim that the four brands have the same mean if the following sample
results have been obtained.
results have been obtained.

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78
At the 0.025 significance level, test the claim that the four brands have the same mean if the following sample
results have been obtained.
results have been obtained.

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79
Given the sample data below, test the claim that the populations have the same mean. Use a significance level of
0.05.
0.05.

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80
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance
level in testing the null hypothesis that the different samples come from populations with the same mean.
What can you conclude about the equality of the population means?
A) Reject the null hypothesis since the p-value is less than the significance level.
B) Accept the null hypothesis since the p-value is greater than the significance level.
C) Reject the null hypothesis since the p-value is greater than the significance level.
D) Accept the null hypothesis since the p-value is less than the significance level.
level in testing the null hypothesis that the different samples come from populations with the same mean.
What can you conclude about the equality of the population means?

A) Reject the null hypothesis since the p-value is less than the significance level.
B) Accept the null hypothesis since the p-value is greater than the significance level.
C) Reject the null hypothesis since the p-value is greater than the significance level.
D) Accept the null hypothesis since the p-value is less than the significance level.
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