Deck 12: Analysis of Variance

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Question
For a disordinal interaction, the main effects can be interpreted independently of each other.
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Question
In a two-way ANOVA procedure, variable A has four levels and variable B has two levels.The d.f.N.for
factor In a two-way ANOVA procedure, variable A has four levels and variable B has two levels.The d.f.N.for factor   would be 3.<div style=padding-top: 35px> would be 3.
Question
Complete the formula for the sum of squares between groups: <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
In order to conduct the Scheffé test, one must compare the means two at a time, using all possible
combinations of means.
Question
If the means of four different groups were compared at If the means of four different groups were compared at   and the critical value of the F-test was 3.96, the critical value for the Scheffé test would be 15.84.<div style=padding-top: 35px> and the critical value of the F-test was 3.96, the critical value for the Scheffé test would be 15.84.
Question
When the absolute value of q is less than the critical value for the Tukey test, there is a significant
difference between the two means being compared.
Question
When finding the degrees of freedom for the F-distribution, d.f.N is equal to one less than the number of
groups.
Question
If a researcher wanted to use the t-test to compare 10 means, two at a time, 45 tests would need to be
performed.
Question
If one tested at the 1% level of significance, one would declare that averaging over the 3 diets, weight
gains were significantly different between males and females (i.e., that the main effect of gender is
significant).
Question
For three groups, the F-test can show whether or not a difference exists among three or more means and
where the difference lies.
Question
The ANOVA technique is an abbreviation for the following term:

A)analysis of variance
B)variance
C)Scheffé test
D)Tukey test
Question
When performing an F-test, if the means differ significantly, the between-group variance will be much
smaller than the within-group variance.
Question
The F-test for comparing means is always right-tailed.
Question
An F-test can be used to compare the variances of three or more means.
Question
The value of the F-distribution can be negative.
Question
To find the critical value for the Tukey test, the number of means, k, and the degrees of freedom
associated with the between-group variance, n, are needed.
Question
If there are 3 means to be compared, how many different comparisons <strong>If there are 3 means to be compared, how many different comparisons   are possible?</strong> A)2 B)3 C)5 D)6 <div style=padding-top: 35px> are possible?

A)2
B)3
C)5
D)6
Question
Which of the following assumptions is not made for the F-test for comparing three or more means?

A)The populations from which the samples were obtained must be normally distributed.
B)The samples must be independent of each other.
C)The sample sizes must be equal.
D)The variances of the populations must be equal.
Question
To compare 7 means, which of the following techniques would be applicable?

A)Analysis of Variance
B)ANOVA
C)Both (A) and (B)
D)Neither (A) nor (B)
Question
A researcher can use the Scheffé or the Tukey test to determine where the difference in the means lies
once the null hypothesis for the F-test has been rejected.
Question
A vending machine company wants to check three of its machines to determine if they are properly
dispensing 12 ounces of coffee.The data are given below. <strong>A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee.The data are given below.   What is the within-group variance for the three coffee machines?</strong> A)0.017 B)0.0136 C)0.13 D)0.029 <div style=padding-top: 35px>
What is the within-group variance for the three coffee machines?

A)0.017
B)0.0136
C)0.13
D)0.029
Question
A researcher is comparing three groups of the same size.The sample mean of the first group is 12, the sample mean of the second group is 16, and the sample mean of the third group is 20.If the Scheffé F-test
Value for comparing group 1 with group 2 is 7.4, then the Scheffé F-test value for comparing group 2 with
Group 3 will be:

A)3.7
B)7.4
C)14.8
D)Cannot be determined with the information given
Question
Complete the formula for the Tukey test: q =

A) <strong>Complete the formula for the Tukey test: q =</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Complete the formula for the Tukey test: q =</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Complete the formula for the Tukey test: q =</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Complete the formula for the Tukey test: q =</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Is there a significant difference between the means for vending machines A, B, and C?

A)Yes, there is a significant difference between the means.
B)No, there is no significant difference between the means.
C)The F-test cannot be used to answer whether or not there is a significant difference between the means.
D)The Scheffé test needs to be performed in order to determine whether or not there is a significant difference between the means.
Question
A researcher calculated the ANOVA summary table for an experiment, but accidentally spilled grape juice over the first line of the output.From the data below, calculate the F test
Value. <strong>A researcher calculated the ANOVA summary table for an experiment, but accidentally spilled grape juice over the first line of the output.From the data below, calculate the F test Value.  </strong> A)F = 0.91 B)F = 1.28 C)F = 2.01 D)F = 2.74 <div style=padding-top: 35px>

A)F = 0.91
B)F = 1.28
C)F = 2.01
D)F = 2.74
Question
Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:

A)all 6 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:</strong> A)all 6 of the comparisons of means   ould be significant using the Scheffé test. B)at least 4 of the comparisons of mean   ould be significant using the Scheffé test. C)at least 2 of the comparisons of means   ould be significant using the Scheffé test. D)at least 1 of the comparisons of mean   ould be significant using the Scheffé test. <div style=padding-top: 35px> ould be significant using the Scheffé test.
B)at least 4 of the comparisons of mean <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:</strong> A)all 6 of the comparisons of means   ould be significant using the Scheffé test. B)at least 4 of the comparisons of mean   ould be significant using the Scheffé test. C)at least 2 of the comparisons of means   ould be significant using the Scheffé test. D)at least 1 of the comparisons of mean   ould be significant using the Scheffé test. <div style=padding-top: 35px> ould be significant using the Scheffé test.
C)at least 2 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:</strong> A)all 6 of the comparisons of means   ould be significant using the Scheffé test. B)at least 4 of the comparisons of mean   ould be significant using the Scheffé test. C)at least 2 of the comparisons of means   ould be significant using the Scheffé test. D)at least 1 of the comparisons of mean   ould be significant using the Scheffé test. <div style=padding-top: 35px> ould be significant using the Scheffé test.
D)at least 1 of the comparisons of mean <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:</strong> A)all 6 of the comparisons of means   ould be significant using the Scheffé test. B)at least 4 of the comparisons of mean   ould be significant using the Scheffé test. C)at least 2 of the comparisons of means   ould be significant using the Scheffé test. D)at least 1 of the comparisons of mean   ould be significant using the Scheffé test. <div style=padding-top: 35px> ould be significant using the Scheffé test.
Question
In the Scheffé test, if <strong>In the Scheffé test, if   = 6 for a group of size n2 = 7,   = 14 for a group of size n4 = 7, and the within-group variance   = 14, then the FS test value for comparing these two groups is equal to:</strong> A)-2.00 B)16.00 C)4.57 D)10.29 <div style=padding-top: 35px> = 6 for a group of size n2 = 7, <strong>In the Scheffé test, if   = 6 for a group of size n2 = 7,   = 14 for a group of size n4 = 7, and the within-group variance   = 14, then the FS test value for comparing these two groups is equal to:</strong> A)-2.00 B)16.00 C)4.57 D)10.29 <div style=padding-top: 35px> = 14 for a group of size n4 = 7, and the within-group variance <strong>In the Scheffé test, if   = 6 for a group of size n2 = 7,   = 14 for a group of size n4 = 7, and the within-group variance   = 14, then the FS test value for comparing these two groups is equal to:</strong> A)-2.00 B)16.00 C)4.57 D)10.29 <div style=padding-top: 35px> = 14, then the FS test value for comparing these two groups is equal to:

A)-2.00
B)16.00
C)4.57
D)10.29
Question
A vending machine company wants to check three of its machines to determine if they are properly
dispensing 12 ounces of coffee.The data are given below. <strong>A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee.The data are given below.   What is the grand mean for the data given above?</strong> A)12.08 B)11.96 C)11.82 D)11.85 <div style=padding-top: 35px>
What is the grand mean for the data given above?

A)12.08
B)11.96
C)11.82
D)11.85
Question
A researcher is comparing 3 groups to test if they have the same means.There are 51 data values altogether.The degrees of freedom for the Between (dfB) and the degrees of freedom for the Within
(dfW) are:

A)dfB = 48, dfW = 50
B)dfB = 2, dfW = 48
C)dfB = 2, dfW = 50
D)dfB = 3, dfW = 50
Question
In an Analysis of Variance Summary Table, if the Mean Square Between = 33 and the Mean Square Within = 29, then the null hypothesis of the groups having the same mean is

A)Accepted because <strong>In an Analysis of Variance Summary Table, if the Mean Square Between = 33 and the Mean Square Within = 29, then the null hypothesis of the groups having the same mean is</strong> A)Accepted because   B)Rejected because   C)Cannot be determined without knowing the Sums of Squares (between and within) D)Cannot be determined without knowing the Degrees of Freedom (between and within) <div style=padding-top: 35px>
B)Rejected because <strong>In an Analysis of Variance Summary Table, if the Mean Square Between = 33 and the Mean Square Within = 29, then the null hypothesis of the groups having the same mean is</strong> A)Accepted because   B)Rejected because   C)Cannot be determined without knowing the Sums of Squares (between and within) D)Cannot be determined without knowing the Degrees of Freedom (between and within) <div style=padding-top: 35px>
C)Cannot be determined without knowing the Sums of Squares (between and within)
D)Cannot be determined without knowing the Degrees of Freedom (between and within)
Question
A researcher is comparing three groups of the same size.The sample mean of the first group is 12, the sample mean of the second group is 14, and the sample mean of the third group is 16.If the Tukey q-test
Value for comparing group 1 with group 2 is 2.6, then the Tukey q-test value for comparing group 2 with
Group 3 will be:

A)2.6
B)5.2
C)10.4
D)Cannot be determined with the information given
Question
A portion of an ANOVA summary table is shown below. <strong>A portion of an ANOVA summary table is shown below.   The critical value for this problem should have dfN (degrees of freedom in the numerator) ___ and dfD (degrees of freedom in the denominator) of ___:</strong> A)dfN = 2, dfD = 27 B)dfN = 27, dfD = 2 C)dfN = 22, dfD = 39 D)dfN = 39, dfD = 22 <div style=padding-top: 35px> The critical value for this problem should have dfN (degrees of freedom in the numerator) ___ and dfD
(degrees of freedom in the denominator) of ___:

A)dfN = 2, dfD = 27
B)dfN = 27, dfD = 2
C)dfN = 22, dfD = 39
D)dfN = 39, dfD = 22
Question
In the Tukey test, if <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 <div style=padding-top: 35px> = 6 for a group of siz <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 <div style=padding-top: 35px> = 7, <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 <div style=padding-top: 35px> = 14 for a group of size <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 <div style=padding-top: 35px> = 7, and the within-group variance <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 <div style=padding-top: 35px> = 28, then the q test value for comparing group 2 to group 4 is:

A)-0.01
B)-0.29
C)-1.51
D)-4.00
Question
A vending machine company wants to check three of its machines to determine if they are properly
dispensing 12 ounces of coffee.The data are given below. <strong>A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee.The data are given below.   What is the between-group variance for the three coffee machines?</strong> A)0.017 B)0.098 C)0.057 D)0.086 <div style=padding-top: 35px>
What is the between-group variance for the three coffee machines?

A)0.017
B)0.098
C)0.057
D)0.086
Question
If a researcher wanted to compare the F-value with the critical value for F at <strong>If a researcher wanted to compare the F-value with the critical value for F at   , what would that critical F be?</strong> A)3.70 B)3.08 C)3.89 D)3.73 <div style=padding-top: 35px> , what would that critical F be?

A)3.70
B)3.08
C)3.89
D)3.73
Question
A vending machine company wants to check three of its machines to determine if they are properly
dispensing 12 ounces of coffee.The data are given below. <strong>A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee.The data are given below.   What is the F-value for the coffee machines?</strong> A)2.25 B)5.06 C)6.62 D)4.86 <div style=padding-top: 35px>
What is the F-value for the coffee machines?

A)2.25
B)5.06
C)6.62
D)4.86
Question
In an Analysis of Variance Summary Table, if the Mean Square Between = 16 and the Mean Square Within = 27, then the null hypothesis of the groups having the same mean is

A)Accepted because <strong>In an Analysis of Variance Summary Table, if the Mean Square Between = 16 and the Mean Square Within = 27, then the null hypothesis of the groups having the same mean is</strong> A)Accepted because   B)Rejected because   C)Cannot be determined without knowing the Sums of Squares (between and within) D)Cannot be determined without knowing the Degrees of Freedom (between and within) <div style=padding-top: 35px>
B)Rejected because <strong>In an Analysis of Variance Summary Table, if the Mean Square Between = 16 and the Mean Square Within = 27, then the null hypothesis of the groups having the same mean is</strong> A)Accepted because   B)Rejected because   C)Cannot be determined without knowing the Sums of Squares (between and within) D)Cannot be determined without knowing the Degrees of Freedom (between and within) <div style=padding-top: 35px>
C)Cannot be determined without knowing the Sums of Squares (between and within)
D)Cannot be determined without knowing the Degrees of Freedom (between and within)
Question
What would the Tukey test value be for comparing the means of machine B and machine C at <strong>What would the Tukey test value be for comparing the means of machine B and machine C at   ?</strong> A)-1.61 B)-1.17 C)-7.72 D)-4.46 <div style=padding-top: 35px> ?

A)-1.61
B)-1.17
C)-7.72
D)-4.46
Question
The between-group variance and the error variance are sometimes referred to as:

A)ANOVA summary table
B)mean squares
C)main effects
D)interaction effects
Question
A portion of an ANOVA summary table is shown below.What is the F-test value? <strong>A portion of an ANOVA summary table is shown below.What is the F-test value?  </strong> A)0.15 B)0.47 C)6.59 D)2.13 <div style=padding-top: 35px>

A)0.15
B)0.47
C)6.59
D)2.13
Question
The degrees of freedom for the interaction between diet and gender are:

A)1
B)2
C)3
D)4
Question
When there is one independent variable, the analysis of variance is called a __________ ANOVA.
________________________________________
Question
A Two-Way ANOVA Summary Table is shown below.
<strong>A Two-Way ANOVA Summary Table is shown below.   The critical value for the F test using   d.f.N.= 2, and d.f.D = 36 is 3.26.Then:</strong> A)Only the null hypothesis concerning Factor A should be rejected B)Only the null hypothesis concerning Factor B should be rejected C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted <div style=padding-top: 35px> The critical value for the F test using <strong>A Two-Way ANOVA Summary Table is shown below.   The critical value for the F test using   d.f.N.= 2, and d.f.D = 36 is 3.26.Then:</strong> A)Only the null hypothesis concerning Factor A should be rejected B)Only the null hypothesis concerning Factor B should be rejected C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted <div style=padding-top: 35px> d.f.N.= 2, and d.f.D = 36 is 3.26.Then:

A)Only the null hypothesis concerning Factor A should be rejected
B)Only the null hypothesis concerning Factor B should be rejected
C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected
D)All of the null hypotheses should be accepted
Question
an English course differs depending upon the time of day that the course is being offered. <strong>an English course differs depending upon the time of day that the course is being offered.   Is there a significant difference between the mean attendance for the classes given   ?</strong> A)Yes, there is a significant difference between the means. B)No, there is no significant difference between the means. C)The F-test cannot be used to answer whether or not there is a significant difference between the means. D)The Scheffé test needs to be performed in order to find whether or not there is a significant difference between the means. <div style=padding-top: 35px>
Is there a significant difference between the mean attendance for the classes given <strong>an English course differs depending upon the time of day that the course is being offered.   Is there a significant difference between the mean attendance for the classes given   ?</strong> A)Yes, there is a significant difference between the means. B)No, there is no significant difference between the means. C)The F-test cannot be used to answer whether or not there is a significant difference between the means. D)The Scheffé test needs to be performed in order to find whether or not there is a significant difference between the means. <div style=padding-top: 35px> ?

A)Yes, there is a significant difference between the means.
B)No, there is no significant difference between the means.
C)The F-test cannot be used to answer whether or not there is a significant difference between the means.
D)The Scheffé test needs to be performed in order to find whether or not there is a significant difference between the means.
Question
A researcher is performing a two-way ANOVA using two factors.The first factor has 4 levels and the second factor also has 4 levels.In the ANOVA Summary Table, the degrees of freedom for the first and
Second factors will be:

A)4 d.f.for the first factor and 4 d.f.for the second factor
B)3 d.f.for the first factor and 3 d.f.for the second factor
C)5 d.f.for the first factor and 5 d.f.for the second factor
D)16 d.f.for the first factor and 16 d.f.for the second factor
Question
A researcher is comparing three groups of the same size.The sample mean of the first group is 11, the sample mean of the second group is 13, and the sample mean of the third group is 15.If the Tukey q-test
Value for comparing group 1 with group 2 is -2.1, then the Tukey q-test value for comparing group 1 with
Group 3 will be:

A)-2.1
B)-4.2
C)-8.4
D)Cannot be determined with the information given
Question
The figure below is an example of what type of interaction?
<strong>The figure below is an example of what type of interaction?   </strong> A)disordinal interaction B)ordinal interaction C)polar interaction D)cardinal interaction <div style=padding-top: 35px>

A)disordinal interaction
B)ordinal interaction
C)polar interaction
D)cardinal interaction
Question
The figure below is an example of what type of interaction?
<strong>The figure below is an example of what type of interaction?   </strong> A)disordinal interaction B)ordinal interaction C)There is no interaction because the lines do not cross. <div style=padding-top: 35px>

A)disordinal interaction
B)ordinal interaction
C)There is no interaction because the lines do not cross.
Question
The degrees of freedom for error are:

A)14
B)24
C)29
D)30
Question
If the figure below is the result of a two-way ANOVA, which of the following statements would apply? <strong>If the figure below is the result of a two-way ANOVA, which of the following statements would apply?  </strong> A)There is no significant interaction effect. B)There is a significant interaction effect. C)The main effects should not be interpreted without considering the interaction effect. D)The graph does not give any indication of whether or not there is an interaction effect.An experiment has been designed to study the effectiveness of a new diet on weight gain for use with anorexic individuals.The diet is available in both a solid and a liquid form.The two new diets and a standard control diet were randomly assigned to 15 women and 15 men.Thus, Each of the 3 diets was assigned to 5 men and 5 women.The weight gains attained after 12 weeks were Recorded for each of the participants and the corresponding averages are summarized in the following Table.   ANOVA   <div style=padding-top: 35px>

A)There is no significant interaction effect.
B)There is a significant interaction effect.
C)The main effects should not be interpreted without considering the interaction effect.
D)The graph does not give any indication of whether or not there is an interaction effect.An experiment has been designed to study the effectiveness of a new diet on weight gain for use with anorexic individuals.The diet is available in both a solid and a liquid form.The two new diets and a standard control diet were randomly assigned to 15 women and 15 men.Thus,
Each of the 3 diets was assigned to 5 men and 5 women.The weight gains attained after 12 weeks were
Recorded for each of the participants and the corresponding averages are summarized in the following
Table. <strong>If the figure below is the result of a two-way ANOVA, which of the following statements would apply?  </strong> A)There is no significant interaction effect. B)There is a significant interaction effect. C)The main effects should not be interpreted without considering the interaction effect. D)The graph does not give any indication of whether or not there is an interaction effect.An experiment has been designed to study the effectiveness of a new diet on weight gain for use with anorexic individuals.The diet is available in both a solid and a liquid form.The two new diets and a standard control diet were randomly assigned to 15 women and 15 men.Thus, Each of the 3 diets was assigned to 5 men and 5 women.The weight gains attained after 12 weeks were Recorded for each of the participants and the corresponding averages are summarized in the following Table.   ANOVA   <div style=padding-top: 35px>
ANOVA
<strong>If the figure below is the result of a two-way ANOVA, which of the following statements would apply?  </strong> A)There is no significant interaction effect. B)There is a significant interaction effect. C)The main effects should not be interpreted without considering the interaction effect. D)The graph does not give any indication of whether or not there is an interaction effect.An experiment has been designed to study the effectiveness of a new diet on weight gain for use with anorexic individuals.The diet is available in both a solid and a liquid form.The two new diets and a standard control diet were randomly assigned to 15 women and 15 men.Thus, Each of the 3 diets was assigned to 5 men and 5 women.The weight gains attained after 12 weeks were Recorded for each of the participants and the corresponding averages are summarized in the following Table.   ANOVA   <div style=padding-top: 35px>
Question
A Two-Way ANOVA Summary Table is shown below.
<strong>A Two-Way ANOVA Summary Table is shown below.   The critical value for the F test using   d.f.N.= 2, and d.f.D = 45 is 3.20.Then:</strong> A)The null hypothesis concerning Factor A should be rejected B)The null hypothesis concerning Factor B should be rejected C)The null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted <div style=padding-top: 35px> The critical value for the F test using <strong>A Two-Way ANOVA Summary Table is shown below.   The critical value for the F test using   d.f.N.= 2, and d.f.D = 45 is 3.20.Then:</strong> A)The null hypothesis concerning Factor A should be rejected B)The null hypothesis concerning Factor B should be rejected C)The null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted <div style=padding-top: 35px> d.f.N.= 2, and d.f.D = 45 is 3.20.Then:

A)The null hypothesis concerning Factor A should be rejected
B)The null hypothesis concerning Factor B should be rejected
C)The null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected
D)All of the null hypotheses should be accepted
Question
A researcher is performing a two-way ANOVA using two factors.The first factor has 4 levels and the second factor has 10 levels.In the ANOVA Summary Table, the degrees of freedom for the interaction
Between the first and second factors will be:

A)27
B)30
C)36
D)40
Question
This experiment is best described as a(n):

A)randomized survey.
B)completely randomized design.
C)factorial treatment design carried out in a completely randomized experimental design.
D)observational study.
Question
an English course differs depending upon the time of day that the course is being offered. <strong>an English course differs depending upon the time of day that the course is being offered.   Given the between-group variance (determined in the previous question) and the fact that the F-test value is 6.00, what is the within-group variance for the three class times?</strong> A)23.40 B)46.80 C)3.90 D)7.18 <div style=padding-top: 35px>
Given the between-group variance (determined in the previous question) and the fact that the F-test value is 6.00, what is the within-group variance for the three class times?

A)23.40
B)46.80
C)3.90
D)7.18
Question
an English course differs depending upon the time of day that the course is being offered. <strong>an English course differs depending upon the time of day that the course is being offered.   What is the between-group variance for the data given above.</strong> A)23.40 B)46.80 C)3.90 D)7.18 <div style=padding-top: 35px>
What is the between-group variance for the data given above.

A)23.40
B)46.80
C)3.90
D)7.18
Question
Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:

A)all 21 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:</strong> A)all 21 of the comparisons of means   ould be significant using the Tukey test. B)at least 7 of the comparisons of mean   ould be significant using the Tukey test. C)at least 4 of the comparisons of means   ould be significant using the Tukey test. D)at least 1 of the comparisons of means   ould be significant using the Tukey test. <div style=padding-top: 35px> ould be significant using the Tukey test.
B)at least 7 of the comparisons of mean <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:</strong> A)all 21 of the comparisons of means   ould be significant using the Tukey test. B)at least 7 of the comparisons of mean   ould be significant using the Tukey test. C)at least 4 of the comparisons of means   ould be significant using the Tukey test. D)at least 1 of the comparisons of means   ould be significant using the Tukey test. <div style=padding-top: 35px> ould be significant using the Tukey test.
C)at least 4 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:</strong> A)all 21 of the comparisons of means   ould be significant using the Tukey test. B)at least 7 of the comparisons of mean   ould be significant using the Tukey test. C)at least 4 of the comparisons of means   ould be significant using the Tukey test. D)at least 1 of the comparisons of means   ould be significant using the Tukey test. <div style=padding-top: 35px> ould be significant using the Tukey test.
D)at least 1 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:</strong> A)all 21 of the comparisons of means   ould be significant using the Tukey test. B)at least 7 of the comparisons of mean   ould be significant using the Tukey test. C)at least 4 of the comparisons of means   ould be significant using the Tukey test. D)at least 1 of the comparisons of means   ould be significant using the Tukey test. <div style=padding-top: 35px> ould be significant using the Tukey test.
Question
A Two-Way ANOVA Summary Table is shown below. The critical value for the F-test using <strong> A Two-Way ANOVA Summary Table is shown below. The critical value for the F-test using   , d.f.N.= 2, and d.f.D = 27 is 3.35.Then:  </strong> A)Only the null hypothesis concerning Factor A should be rejected B)Only the null hypothesis concerning Factor B should be rejected C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted <div style=padding-top: 35px> , d.f.N.= 2, and d.f.D = 27 is 3.35.Then:
<strong> A Two-Way ANOVA Summary Table is shown below. The critical value for the F-test using   , d.f.N.= 2, and d.f.D = 27 is 3.35.Then:  </strong> A)Only the null hypothesis concerning Factor A should be rejected B)Only the null hypothesis concerning Factor B should be rejected C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted <div style=padding-top: 35px>

A)Only the null hypothesis concerning Factor A should be rejected
B)Only the null hypothesis concerning Factor B should be rejected
C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected
D)All of the null hypotheses should be accepted
Question
The total number of degrees of freedom for a two-way ANOVA is equal to one less than the total number
of samples.
Question
A researcher is comparing three groups of the same size.The sample mean of the first group is 14, the sample mean of the second group is 17, and the sample mean of the third group is 20.If the Scheffé F-test
Value for comparing group 1 with group 2 is 5.4, then the Scheffé F-test value for comparing group 1 with
Group 3 will be:

A)5.4
B)10.8
C)21.6
D)Cannot be determined with the information given
Question
Which of the following assumptions does not apply to the two-way ANOVA?

A)The populations from which the samples are obtained must be normally or approximately normally distributed.
B)The samples must be independent of each other.
C)The means of the populations must be equal.
D)The groups must be equal in sample size.
Question
The ______________ test can be used even if the sample sizes are not equal.
________________________________________
Question
In a two-way ANOVA design, variable A has four levels and variable B has two levels.There are eight
data values in each cell.What is the d.f.N.for factor B?
Question
Two methods for teaching Introductory Statistics are to be compared.Ten students are randomly assigned
to one of two groups and their midterm averages are recorded.Analyze the data using a two-way
ANOVA at α = 0.05. Two methods for teaching Introductory Statistics are to be compared.Ten students are randomly assigned to one of two groups and their midterm averages are recorded.Analyze the data using a two-way ANOVA at α = 0.05.  <div style=padding-top: 35px>
Question
The manager of a grocery store wants to determine if there is a difference in the amount of money that
the store brings in at different times of day for different days of the week.The amount of money spent
by five randomly selected customers is listed below.Analyze the data using a two-way ANOVA at α =0.05. The manager of a grocery store wants to determine if there is a difference in the amount of money that the store brings in at different times of day for different days of the week.The amount of money spent by five randomly selected customers is listed below.Analyze the data using a two-way ANOVA at α =0.05.  <div style=padding-top: 35px>
Question
Qualitative independent variables can also be called ______________.
________________________________________
Question
If there is no difference in the means, the _____________ variance will be approximately equal to the
within-group variance.
________________________________________
Question
A researcher wants to investigate whether there is a significant difference in the average age of
instructors, assistant professors, associate professors, and full professors at a university.The faculty
members were selected at random and their ages were recorded.Use the collected data to complete the A researcher wants to investigate whether there is a significant difference in the average age of instructors, assistant professors, associate professors, and full professors at a university.The faculty members were selected at random and their ages were recorded.Use the collected data to complete the   ANOVA chart given below.  <div style=padding-top: 35px> ANOVA chart given below. A researcher wants to investigate whether there is a significant difference in the average age of instructors, assistant professors, associate professors, and full professors at a university.The faculty members were selected at random and their ages were recorded.Use the collected data to complete the   ANOVA chart given below.  <div style=padding-top: 35px>
Question
The ________________ variance is made by computing the variance using all the data and is not affected
by differences in the means.
________________________________________
Question
A diet centre wants to test three different methods for losing weight to determine if the average
weight loss (reported in pounds/week) for each method is the same.The results for the three methods
are given below.Assuming that there is a significant difference between the three methods, use the
Tukey test to determine if there is a significant difference between each pair of methods.Let A diet centre wants to test three different methods for losing weight to determine if the average weight loss (reported in pounds/week) for each method is the same.The results for the three methods are given below.Assuming that there is a significant difference between the three methods, use the Tukey test to determine if there is a significant difference between each pair of methods.Let   0.05.  <div style=padding-top: 35px> 0.05. A diet centre wants to test three different methods for losing weight to determine if the average weight loss (reported in pounds/week) for each method is the same.The results for the three methods are given below.Assuming that there is a significant difference between the three methods, use the Tukey test to determine if there is a significant difference between each pair of methods.Let   0.05.  <div style=padding-top: 35px>
Question
The ____________ test can be used after the analysis of variance has been completed to make pairwise
comparisons between means when groups have the same sample size.
________________________________________
Question
Each independent variable investigated could have two or more different treatments or
______________.
________________________________________
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Deck 12: Analysis of Variance
1
For a disordinal interaction, the main effects can be interpreted independently of each other.
False
2
In a two-way ANOVA procedure, variable A has four levels and variable B has two levels.The d.f.N.for
factor In a two-way ANOVA procedure, variable A has four levels and variable B has two levels.The d.f.N.for factor   would be 3. would be 3.
True
3
Complete the formula for the sum of squares between groups: <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)

A) <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)
B) <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)
C) <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)
D) <strong>Complete the formula for the sum of squares between groups:  </strong> A)   B)   C)   D)
4
In order to conduct the Scheffé test, one must compare the means two at a time, using all possible
combinations of means.
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5
If the means of four different groups were compared at If the means of four different groups were compared at   and the critical value of the F-test was 3.96, the critical value for the Scheffé test would be 15.84. and the critical value of the F-test was 3.96, the critical value for the Scheffé test would be 15.84.
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6
When the absolute value of q is less than the critical value for the Tukey test, there is a significant
difference between the two means being compared.
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7
When finding the degrees of freedom for the F-distribution, d.f.N is equal to one less than the number of
groups.
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8
If a researcher wanted to use the t-test to compare 10 means, two at a time, 45 tests would need to be
performed.
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9
If one tested at the 1% level of significance, one would declare that averaging over the 3 diets, weight
gains were significantly different between males and females (i.e., that the main effect of gender is
significant).
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10
For three groups, the F-test can show whether or not a difference exists among three or more means and
where the difference lies.
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11
The ANOVA technique is an abbreviation for the following term:

A)analysis of variance
B)variance
C)Scheffé test
D)Tukey test
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12
When performing an F-test, if the means differ significantly, the between-group variance will be much
smaller than the within-group variance.
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13
The F-test for comparing means is always right-tailed.
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14
An F-test can be used to compare the variances of three or more means.
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15
The value of the F-distribution can be negative.
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16
To find the critical value for the Tukey test, the number of means, k, and the degrees of freedom
associated with the between-group variance, n, are needed.
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17
If there are 3 means to be compared, how many different comparisons <strong>If there are 3 means to be compared, how many different comparisons   are possible?</strong> A)2 B)3 C)5 D)6 are possible?

A)2
B)3
C)5
D)6
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18
Which of the following assumptions is not made for the F-test for comparing three or more means?

A)The populations from which the samples were obtained must be normally distributed.
B)The samples must be independent of each other.
C)The sample sizes must be equal.
D)The variances of the populations must be equal.
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19
To compare 7 means, which of the following techniques would be applicable?

A)Analysis of Variance
B)ANOVA
C)Both (A) and (B)
D)Neither (A) nor (B)
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20
A researcher can use the Scheffé or the Tukey test to determine where the difference in the means lies
once the null hypothesis for the F-test has been rejected.
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21
A vending machine company wants to check three of its machines to determine if they are properly
dispensing 12 ounces of coffee.The data are given below. <strong>A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee.The data are given below.   What is the within-group variance for the three coffee machines?</strong> A)0.017 B)0.0136 C)0.13 D)0.029
What is the within-group variance for the three coffee machines?

A)0.017
B)0.0136
C)0.13
D)0.029
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22
A researcher is comparing three groups of the same size.The sample mean of the first group is 12, the sample mean of the second group is 16, and the sample mean of the third group is 20.If the Scheffé F-test
Value for comparing group 1 with group 2 is 7.4, then the Scheffé F-test value for comparing group 2 with
Group 3 will be:

A)3.7
B)7.4
C)14.8
D)Cannot be determined with the information given
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23
Complete the formula for the Tukey test: q =

A) <strong>Complete the formula for the Tukey test: q =</strong> A)   B)   C)   D)
B) <strong>Complete the formula for the Tukey test: q =</strong> A)   B)   C)   D)
C) <strong>Complete the formula for the Tukey test: q =</strong> A)   B)   C)   D)
D) <strong>Complete the formula for the Tukey test: q =</strong> A)   B)   C)   D)
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24
Is there a significant difference between the means for vending machines A, B, and C?

A)Yes, there is a significant difference between the means.
B)No, there is no significant difference between the means.
C)The F-test cannot be used to answer whether or not there is a significant difference between the means.
D)The Scheffé test needs to be performed in order to determine whether or not there is a significant difference between the means.
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25
A researcher calculated the ANOVA summary table for an experiment, but accidentally spilled grape juice over the first line of the output.From the data below, calculate the F test
Value. <strong>A researcher calculated the ANOVA summary table for an experiment, but accidentally spilled grape juice over the first line of the output.From the data below, calculate the F test Value.  </strong> A)F = 0.91 B)F = 1.28 C)F = 2.01 D)F = 2.74

A)F = 0.91
B)F = 1.28
C)F = 2.01
D)F = 2.74
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26
Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:

A)all 6 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:</strong> A)all 6 of the comparisons of means   ould be significant using the Scheffé test. B)at least 4 of the comparisons of mean   ould be significant using the Scheffé test. C)at least 2 of the comparisons of means   ould be significant using the Scheffé test. D)at least 1 of the comparisons of mean   ould be significant using the Scheffé test. ould be significant using the Scheffé test.
B)at least 4 of the comparisons of mean <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:</strong> A)all 6 of the comparisons of means   ould be significant using the Scheffé test. B)at least 4 of the comparisons of mean   ould be significant using the Scheffé test. C)at least 2 of the comparisons of means   ould be significant using the Scheffé test. D)at least 1 of the comparisons of mean   ould be significant using the Scheffé test. ould be significant using the Scheffé test.
C)at least 2 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:</strong> A)all 6 of the comparisons of means   ould be significant using the Scheffé test. B)at least 4 of the comparisons of mean   ould be significant using the Scheffé test. C)at least 2 of the comparisons of means   ould be significant using the Scheffé test. D)at least 1 of the comparisons of mean   ould be significant using the Scheffé test. ould be significant using the Scheffé test.
D)at least 1 of the comparisons of mean <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 4 population means are not all equal.We should expect that:</strong> A)all 6 of the comparisons of means   ould be significant using the Scheffé test. B)at least 4 of the comparisons of mean   ould be significant using the Scheffé test. C)at least 2 of the comparisons of means   ould be significant using the Scheffé test. D)at least 1 of the comparisons of mean   ould be significant using the Scheffé test. ould be significant using the Scheffé test.
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27
In the Scheffé test, if <strong>In the Scheffé test, if   = 6 for a group of size n2 = 7,   = 14 for a group of size n4 = 7, and the within-group variance   = 14, then the FS test value for comparing these two groups is equal to:</strong> A)-2.00 B)16.00 C)4.57 D)10.29 = 6 for a group of size n2 = 7, <strong>In the Scheffé test, if   = 6 for a group of size n2 = 7,   = 14 for a group of size n4 = 7, and the within-group variance   = 14, then the FS test value for comparing these two groups is equal to:</strong> A)-2.00 B)16.00 C)4.57 D)10.29 = 14 for a group of size n4 = 7, and the within-group variance <strong>In the Scheffé test, if   = 6 for a group of size n2 = 7,   = 14 for a group of size n4 = 7, and the within-group variance   = 14, then the FS test value for comparing these two groups is equal to:</strong> A)-2.00 B)16.00 C)4.57 D)10.29 = 14, then the FS test value for comparing these two groups is equal to:

A)-2.00
B)16.00
C)4.57
D)10.29
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28
A vending machine company wants to check three of its machines to determine if they are properly
dispensing 12 ounces of coffee.The data are given below. <strong>A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee.The data are given below.   What is the grand mean for the data given above?</strong> A)12.08 B)11.96 C)11.82 D)11.85
What is the grand mean for the data given above?

A)12.08
B)11.96
C)11.82
D)11.85
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29
A researcher is comparing 3 groups to test if they have the same means.There are 51 data values altogether.The degrees of freedom for the Between (dfB) and the degrees of freedom for the Within
(dfW) are:

A)dfB = 48, dfW = 50
B)dfB = 2, dfW = 48
C)dfB = 2, dfW = 50
D)dfB = 3, dfW = 50
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30
In an Analysis of Variance Summary Table, if the Mean Square Between = 33 and the Mean Square Within = 29, then the null hypothesis of the groups having the same mean is

A)Accepted because <strong>In an Analysis of Variance Summary Table, if the Mean Square Between = 33 and the Mean Square Within = 29, then the null hypothesis of the groups having the same mean is</strong> A)Accepted because   B)Rejected because   C)Cannot be determined without knowing the Sums of Squares (between and within) D)Cannot be determined without knowing the Degrees of Freedom (between and within)
B)Rejected because <strong>In an Analysis of Variance Summary Table, if the Mean Square Between = 33 and the Mean Square Within = 29, then the null hypothesis of the groups having the same mean is</strong> A)Accepted because   B)Rejected because   C)Cannot be determined without knowing the Sums of Squares (between and within) D)Cannot be determined without knowing the Degrees of Freedom (between and within)
C)Cannot be determined without knowing the Sums of Squares (between and within)
D)Cannot be determined without knowing the Degrees of Freedom (between and within)
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31
A researcher is comparing three groups of the same size.The sample mean of the first group is 12, the sample mean of the second group is 14, and the sample mean of the third group is 16.If the Tukey q-test
Value for comparing group 1 with group 2 is 2.6, then the Tukey q-test value for comparing group 2 with
Group 3 will be:

A)2.6
B)5.2
C)10.4
D)Cannot be determined with the information given
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32
A portion of an ANOVA summary table is shown below. <strong>A portion of an ANOVA summary table is shown below.   The critical value for this problem should have dfN (degrees of freedom in the numerator) ___ and dfD (degrees of freedom in the denominator) of ___:</strong> A)dfN = 2, dfD = 27 B)dfN = 27, dfD = 2 C)dfN = 22, dfD = 39 D)dfN = 39, dfD = 22 The critical value for this problem should have dfN (degrees of freedom in the numerator) ___ and dfD
(degrees of freedom in the denominator) of ___:

A)dfN = 2, dfD = 27
B)dfN = 27, dfD = 2
C)dfN = 22, dfD = 39
D)dfN = 39, dfD = 22
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33
In the Tukey test, if <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 = 6 for a group of siz <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 = 7, <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 = 14 for a group of size <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 = 7, and the within-group variance <strong>In the Tukey test, if   = 6 for a group of siz   = 7,   = 14 for a group of size   = 7, and the within-group variance   = 28, then the q test value for comparing group 2 to group 4 is:</strong> A)-0.01 B)-0.29 C)-1.51 D)-4.00 = 28, then the q test value for comparing group 2 to group 4 is:

A)-0.01
B)-0.29
C)-1.51
D)-4.00
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34
A vending machine company wants to check three of its machines to determine if they are properly
dispensing 12 ounces of coffee.The data are given below. <strong>A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee.The data are given below.   What is the between-group variance for the three coffee machines?</strong> A)0.017 B)0.098 C)0.057 D)0.086
What is the between-group variance for the three coffee machines?

A)0.017
B)0.098
C)0.057
D)0.086
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35
If a researcher wanted to compare the F-value with the critical value for F at <strong>If a researcher wanted to compare the F-value with the critical value for F at   , what would that critical F be?</strong> A)3.70 B)3.08 C)3.89 D)3.73 , what would that critical F be?

A)3.70
B)3.08
C)3.89
D)3.73
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36
A vending machine company wants to check three of its machines to determine if they are properly
dispensing 12 ounces of coffee.The data are given below. <strong>A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee.The data are given below.   What is the F-value for the coffee machines?</strong> A)2.25 B)5.06 C)6.62 D)4.86
What is the F-value for the coffee machines?

A)2.25
B)5.06
C)6.62
D)4.86
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37
In an Analysis of Variance Summary Table, if the Mean Square Between = 16 and the Mean Square Within = 27, then the null hypothesis of the groups having the same mean is

A)Accepted because <strong>In an Analysis of Variance Summary Table, if the Mean Square Between = 16 and the Mean Square Within = 27, then the null hypothesis of the groups having the same mean is</strong> A)Accepted because   B)Rejected because   C)Cannot be determined without knowing the Sums of Squares (between and within) D)Cannot be determined without knowing the Degrees of Freedom (between and within)
B)Rejected because <strong>In an Analysis of Variance Summary Table, if the Mean Square Between = 16 and the Mean Square Within = 27, then the null hypothesis of the groups having the same mean is</strong> A)Accepted because   B)Rejected because   C)Cannot be determined without knowing the Sums of Squares (between and within) D)Cannot be determined without knowing the Degrees of Freedom (between and within)
C)Cannot be determined without knowing the Sums of Squares (between and within)
D)Cannot be determined without knowing the Degrees of Freedom (between and within)
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38
What would the Tukey test value be for comparing the means of machine B and machine C at <strong>What would the Tukey test value be for comparing the means of machine B and machine C at   ?</strong> A)-1.61 B)-1.17 C)-7.72 D)-4.46 ?

A)-1.61
B)-1.17
C)-7.72
D)-4.46
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39
The between-group variance and the error variance are sometimes referred to as:

A)ANOVA summary table
B)mean squares
C)main effects
D)interaction effects
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40
A portion of an ANOVA summary table is shown below.What is the F-test value? <strong>A portion of an ANOVA summary table is shown below.What is the F-test value?  </strong> A)0.15 B)0.47 C)6.59 D)2.13

A)0.15
B)0.47
C)6.59
D)2.13
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41
The degrees of freedom for the interaction between diet and gender are:

A)1
B)2
C)3
D)4
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42
When there is one independent variable, the analysis of variance is called a __________ ANOVA.
________________________________________
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43
A Two-Way ANOVA Summary Table is shown below.
<strong>A Two-Way ANOVA Summary Table is shown below.   The critical value for the F test using   d.f.N.= 2, and d.f.D = 36 is 3.26.Then:</strong> A)Only the null hypothesis concerning Factor A should be rejected B)Only the null hypothesis concerning Factor B should be rejected C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted The critical value for the F test using <strong>A Two-Way ANOVA Summary Table is shown below.   The critical value for the F test using   d.f.N.= 2, and d.f.D = 36 is 3.26.Then:</strong> A)Only the null hypothesis concerning Factor A should be rejected B)Only the null hypothesis concerning Factor B should be rejected C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted d.f.N.= 2, and d.f.D = 36 is 3.26.Then:

A)Only the null hypothesis concerning Factor A should be rejected
B)Only the null hypothesis concerning Factor B should be rejected
C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected
D)All of the null hypotheses should be accepted
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44
an English course differs depending upon the time of day that the course is being offered. <strong>an English course differs depending upon the time of day that the course is being offered.   Is there a significant difference between the mean attendance for the classes given   ?</strong> A)Yes, there is a significant difference between the means. B)No, there is no significant difference between the means. C)The F-test cannot be used to answer whether or not there is a significant difference between the means. D)The Scheffé test needs to be performed in order to find whether or not there is a significant difference between the means.
Is there a significant difference between the mean attendance for the classes given <strong>an English course differs depending upon the time of day that the course is being offered.   Is there a significant difference between the mean attendance for the classes given   ?</strong> A)Yes, there is a significant difference between the means. B)No, there is no significant difference between the means. C)The F-test cannot be used to answer whether or not there is a significant difference between the means. D)The Scheffé test needs to be performed in order to find whether or not there is a significant difference between the means. ?

A)Yes, there is a significant difference between the means.
B)No, there is no significant difference between the means.
C)The F-test cannot be used to answer whether or not there is a significant difference between the means.
D)The Scheffé test needs to be performed in order to find whether or not there is a significant difference between the means.
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45
A researcher is performing a two-way ANOVA using two factors.The first factor has 4 levels and the second factor also has 4 levels.In the ANOVA Summary Table, the degrees of freedom for the first and
Second factors will be:

A)4 d.f.for the first factor and 4 d.f.for the second factor
B)3 d.f.for the first factor and 3 d.f.for the second factor
C)5 d.f.for the first factor and 5 d.f.for the second factor
D)16 d.f.for the first factor and 16 d.f.for the second factor
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46
A researcher is comparing three groups of the same size.The sample mean of the first group is 11, the sample mean of the second group is 13, and the sample mean of the third group is 15.If the Tukey q-test
Value for comparing group 1 with group 2 is -2.1, then the Tukey q-test value for comparing group 1 with
Group 3 will be:

A)-2.1
B)-4.2
C)-8.4
D)Cannot be determined with the information given
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47
The figure below is an example of what type of interaction?
<strong>The figure below is an example of what type of interaction?   </strong> A)disordinal interaction B)ordinal interaction C)polar interaction D)cardinal interaction

A)disordinal interaction
B)ordinal interaction
C)polar interaction
D)cardinal interaction
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48
The figure below is an example of what type of interaction?
<strong>The figure below is an example of what type of interaction?   </strong> A)disordinal interaction B)ordinal interaction C)There is no interaction because the lines do not cross.

A)disordinal interaction
B)ordinal interaction
C)There is no interaction because the lines do not cross.
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49
The degrees of freedom for error are:

A)14
B)24
C)29
D)30
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50
If the figure below is the result of a two-way ANOVA, which of the following statements would apply? <strong>If the figure below is the result of a two-way ANOVA, which of the following statements would apply?  </strong> A)There is no significant interaction effect. B)There is a significant interaction effect. C)The main effects should not be interpreted without considering the interaction effect. D)The graph does not give any indication of whether or not there is an interaction effect.An experiment has been designed to study the effectiveness of a new diet on weight gain for use with anorexic individuals.The diet is available in both a solid and a liquid form.The two new diets and a standard control diet were randomly assigned to 15 women and 15 men.Thus, Each of the 3 diets was assigned to 5 men and 5 women.The weight gains attained after 12 weeks were Recorded for each of the participants and the corresponding averages are summarized in the following Table.   ANOVA

A)There is no significant interaction effect.
B)There is a significant interaction effect.
C)The main effects should not be interpreted without considering the interaction effect.
D)The graph does not give any indication of whether or not there is an interaction effect.An experiment has been designed to study the effectiveness of a new diet on weight gain for use with anorexic individuals.The diet is available in both a solid and a liquid form.The two new diets and a standard control diet were randomly assigned to 15 women and 15 men.Thus,
Each of the 3 diets was assigned to 5 men and 5 women.The weight gains attained after 12 weeks were
Recorded for each of the participants and the corresponding averages are summarized in the following
Table. <strong>If the figure below is the result of a two-way ANOVA, which of the following statements would apply?  </strong> A)There is no significant interaction effect. B)There is a significant interaction effect. C)The main effects should not be interpreted without considering the interaction effect. D)The graph does not give any indication of whether or not there is an interaction effect.An experiment has been designed to study the effectiveness of a new diet on weight gain for use with anorexic individuals.The diet is available in both a solid and a liquid form.The two new diets and a standard control diet were randomly assigned to 15 women and 15 men.Thus, Each of the 3 diets was assigned to 5 men and 5 women.The weight gains attained after 12 weeks were Recorded for each of the participants and the corresponding averages are summarized in the following Table.   ANOVA
ANOVA
<strong>If the figure below is the result of a two-way ANOVA, which of the following statements would apply?  </strong> A)There is no significant interaction effect. B)There is a significant interaction effect. C)The main effects should not be interpreted without considering the interaction effect. D)The graph does not give any indication of whether or not there is an interaction effect.An experiment has been designed to study the effectiveness of a new diet on weight gain for use with anorexic individuals.The diet is available in both a solid and a liquid form.The two new diets and a standard control diet were randomly assigned to 15 women and 15 men.Thus, Each of the 3 diets was assigned to 5 men and 5 women.The weight gains attained after 12 weeks were Recorded for each of the participants and the corresponding averages are summarized in the following Table.   ANOVA
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51
A Two-Way ANOVA Summary Table is shown below.
<strong>A Two-Way ANOVA Summary Table is shown below.   The critical value for the F test using   d.f.N.= 2, and d.f.D = 45 is 3.20.Then:</strong> A)The null hypothesis concerning Factor A should be rejected B)The null hypothesis concerning Factor B should be rejected C)The null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted The critical value for the F test using <strong>A Two-Way ANOVA Summary Table is shown below.   The critical value for the F test using   d.f.N.= 2, and d.f.D = 45 is 3.20.Then:</strong> A)The null hypothesis concerning Factor A should be rejected B)The null hypothesis concerning Factor B should be rejected C)The null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted d.f.N.= 2, and d.f.D = 45 is 3.20.Then:

A)The null hypothesis concerning Factor A should be rejected
B)The null hypothesis concerning Factor B should be rejected
C)The null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected
D)All of the null hypotheses should be accepted
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52
A researcher is performing a two-way ANOVA using two factors.The first factor has 4 levels and the second factor has 10 levels.In the ANOVA Summary Table, the degrees of freedom for the interaction
Between the first and second factors will be:

A)27
B)30
C)36
D)40
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53
This experiment is best described as a(n):

A)randomized survey.
B)completely randomized design.
C)factorial treatment design carried out in a completely randomized experimental design.
D)observational study.
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54
an English course differs depending upon the time of day that the course is being offered. <strong>an English course differs depending upon the time of day that the course is being offered.   Given the between-group variance (determined in the previous question) and the fact that the F-test value is 6.00, what is the within-group variance for the three class times?</strong> A)23.40 B)46.80 C)3.90 D)7.18
Given the between-group variance (determined in the previous question) and the fact that the F-test value is 6.00, what is the within-group variance for the three class times?

A)23.40
B)46.80
C)3.90
D)7.18
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55
an English course differs depending upon the time of day that the course is being offered. <strong>an English course differs depending upon the time of day that the course is being offered.   What is the between-group variance for the data given above.</strong> A)23.40 B)46.80 C)3.90 D)7.18
What is the between-group variance for the data given above.

A)23.40
B)46.80
C)3.90
D)7.18
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56
Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:

A)all 21 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:</strong> A)all 21 of the comparisons of means   ould be significant using the Tukey test. B)at least 7 of the comparisons of mean   ould be significant using the Tukey test. C)at least 4 of the comparisons of means   ould be significant using the Tukey test. D)at least 1 of the comparisons of means   ould be significant using the Tukey test. ould be significant using the Tukey test.
B)at least 7 of the comparisons of mean <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:</strong> A)all 21 of the comparisons of means   ould be significant using the Tukey test. B)at least 7 of the comparisons of mean   ould be significant using the Tukey test. C)at least 4 of the comparisons of means   ould be significant using the Tukey test. D)at least 1 of the comparisons of means   ould be significant using the Tukey test. ould be significant using the Tukey test.
C)at least 4 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:</strong> A)all 21 of the comparisons of means   ould be significant using the Tukey test. B)at least 7 of the comparisons of mean   ould be significant using the Tukey test. C)at least 4 of the comparisons of means   ould be significant using the Tukey test. D)at least 1 of the comparisons of means   ould be significant using the Tukey test. ould be significant using the Tukey test.
D)at least 1 of the comparisons of means <strong>Assume that the conclusion from an ANOVA is that the null hypothesis is rejected; in other words, the 7 population means (from samples of the same size) are not all equal.We should expect that:</strong> A)all 21 of the comparisons of means   ould be significant using the Tukey test. B)at least 7 of the comparisons of mean   ould be significant using the Tukey test. C)at least 4 of the comparisons of means   ould be significant using the Tukey test. D)at least 1 of the comparisons of means   ould be significant using the Tukey test. ould be significant using the Tukey test.
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57
A Two-Way ANOVA Summary Table is shown below. The critical value for the F-test using <strong> A Two-Way ANOVA Summary Table is shown below. The critical value for the F-test using   , d.f.N.= 2, and d.f.D = 27 is 3.35.Then:  </strong> A)Only the null hypothesis concerning Factor A should be rejected B)Only the null hypothesis concerning Factor B should be rejected C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted , d.f.N.= 2, and d.f.D = 27 is 3.35.Then:
<strong> A Two-Way ANOVA Summary Table is shown below. The critical value for the F-test using   , d.f.N.= 2, and d.f.D = 27 is 3.35.Then:  </strong> A)Only the null hypothesis concerning Factor A should be rejected B)Only the null hypothesis concerning Factor B should be rejected C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected D)All of the null hypotheses should be accepted

A)Only the null hypothesis concerning Factor A should be rejected
B)Only the null hypothesis concerning Factor B should be rejected
C)Only the null hypothesis concerning Factor A and the Interaction (AxB) effect should be rejected
D)All of the null hypotheses should be accepted
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58
The total number of degrees of freedom for a two-way ANOVA is equal to one less than the total number
of samples.
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59
A researcher is comparing three groups of the same size.The sample mean of the first group is 14, the sample mean of the second group is 17, and the sample mean of the third group is 20.If the Scheffé F-test
Value for comparing group 1 with group 2 is 5.4, then the Scheffé F-test value for comparing group 1 with
Group 3 will be:

A)5.4
B)10.8
C)21.6
D)Cannot be determined with the information given
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60
Which of the following assumptions does not apply to the two-way ANOVA?

A)The populations from which the samples are obtained must be normally or approximately normally distributed.
B)The samples must be independent of each other.
C)The means of the populations must be equal.
D)The groups must be equal in sample size.
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61
The ______________ test can be used even if the sample sizes are not equal.
________________________________________
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62
In a two-way ANOVA design, variable A has four levels and variable B has two levels.There are eight
data values in each cell.What is the d.f.N.for factor B?
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63
Two methods for teaching Introductory Statistics are to be compared.Ten students are randomly assigned
to one of two groups and their midterm averages are recorded.Analyze the data using a two-way
ANOVA at α = 0.05. Two methods for teaching Introductory Statistics are to be compared.Ten students are randomly assigned to one of two groups and their midterm averages are recorded.Analyze the data using a two-way ANOVA at α = 0.05.
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64
The manager of a grocery store wants to determine if there is a difference in the amount of money that
the store brings in at different times of day for different days of the week.The amount of money spent
by five randomly selected customers is listed below.Analyze the data using a two-way ANOVA at α =0.05. The manager of a grocery store wants to determine if there is a difference in the amount of money that the store brings in at different times of day for different days of the week.The amount of money spent by five randomly selected customers is listed below.Analyze the data using a two-way ANOVA at α =0.05.
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65
Qualitative independent variables can also be called ______________.
________________________________________
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66
If there is no difference in the means, the _____________ variance will be approximately equal to the
within-group variance.
________________________________________
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67
A researcher wants to investigate whether there is a significant difference in the average age of
instructors, assistant professors, associate professors, and full professors at a university.The faculty
members were selected at random and their ages were recorded.Use the collected data to complete the A researcher wants to investigate whether there is a significant difference in the average age of instructors, assistant professors, associate professors, and full professors at a university.The faculty members were selected at random and their ages were recorded.Use the collected data to complete the   ANOVA chart given below.  ANOVA chart given below. A researcher wants to investigate whether there is a significant difference in the average age of instructors, assistant professors, associate professors, and full professors at a university.The faculty members were selected at random and their ages were recorded.Use the collected data to complete the   ANOVA chart given below.
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68
The ________________ variance is made by computing the variance using all the data and is not affected
by differences in the means.
________________________________________
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69
A diet centre wants to test three different methods for losing weight to determine if the average
weight loss (reported in pounds/week) for each method is the same.The results for the three methods
are given below.Assuming that there is a significant difference between the three methods, use the
Tukey test to determine if there is a significant difference between each pair of methods.Let A diet centre wants to test three different methods for losing weight to determine if the average weight loss (reported in pounds/week) for each method is the same.The results for the three methods are given below.Assuming that there is a significant difference between the three methods, use the Tukey test to determine if there is a significant difference between each pair of methods.Let   0.05.  0.05. A diet centre wants to test three different methods for losing weight to determine if the average weight loss (reported in pounds/week) for each method is the same.The results for the three methods are given below.Assuming that there is a significant difference between the three methods, use the Tukey test to determine if there is a significant difference between each pair of methods.Let   0.05.
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70
The ____________ test can be used after the analysis of variance has been completed to make pairwise
comparisons between means when groups have the same sample size.
________________________________________
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71
Each independent variable investigated could have two or more different treatments or
______________.
________________________________________
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