Deck 12: Analysis of Variance
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Deck 12: Analysis of Variance
1
The ________________ variance is made by computing the variance using all the data and is not affected by differences in the means.
within-group
2
In an Analysis of Variance Summary Table, if the Mean Square Between = 13 and the Mean Square Within = 21, then the null hypothesis of the groups having the same mean is
A) acepted because 13 < 21.
B) rejected because 13 < 21.
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).
A) acepted because 13 < 21.
B) rejected because 13 < 21.
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).
A
3
In an Analysis of Variance Summary Table, if the Mean Square Between = 34 and the Mean Square Within = 24, then the null hypothesis of the groups having the same mean is
A) accepted because 34 > 24.
B) rejected because 34 > 24.
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).
A) accepted because 34 > 24.
B) rejected because 34 > 24.
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).
D
4
If there is no difference in the means, the _____________ variance will be approximately equal to the within-group variance.
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5
The F-test for comparing means is always right tailed.
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6
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
A) dfN = 3, dfD = 26
B) dfN = 26, dfD = 3
C) dfN = 19, dfD = 34
D) dfN = 34, dfD = 19

A) dfN = 3, dfD = 26
B) dfN = 26, dfD = 3
C) dfN = 19, dfD = 34
D) dfN = 34, dfD = 19
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7
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.
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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8
The between-group variance and the within-group variance are sometimes referred to as
A) an ANOVA summary table.
B) mean squares.
C) main effects.
D) interaction effects.
A) an ANOVA summary table.
B) mean squares.
C) main effects.
D) interaction effects.
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9
Complete the formula for the sum of squares between groups: 
A)
B)
C)
D)

A)

B)

C)

D)

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10
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. 
A) F = 0.87
B) F = 1.33
C) F = 1.81
D) F = 2.29

A) F = 0.87
B) F = 1.33
C) F = 1.81
D) F = 2.29
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11
An F-test can be used to compare the variances of three or more means.
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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
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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14
ANOVA is an abbreviation for the following term:
A) analysis of variance
B) variance
C) Scheffé test
D) Tukey test
A) analysis of variance
B) variance
C) Scheffé test
D) Tukey test
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15
For three groups, the F-test can show whether or not a difference exists among three means and where the difference lies.
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16
A portion of an ANOVA summary table is shown below. Calculate the F test value. 
A) 0.16
B) 0.48
C) 6.20
D) 27.24

A) 0.16
B) 0.48
C) 6.20
D) 27.24
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17
When there is one independent variable, the analysis of variance is called a __________ ANOVA.
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18
The value of the F-distribution can be negative.
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19
If there are 4 means to be compared, then how many possible different comparisons (such as
compared to
) are there altogether?
A) 4
B) 6
C) 12
D) 16


A) 4
B) 6
C) 12
D) 16
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20
A researcher is comparing 6 groups to test if they have the same means. There are 53 data values altogether. The degrees of freedom for the Between (dfB) and the degrees of freedom for the Within (dfW) are
A) dfB = 47, dfW = 52
B) dfB = 5, dfW = 47
C) dfB = 5, dfW = 52
D) dfB = 6, dfW = 52
A) dfB = 47, dfW = 52
B) dfB = 5, dfW = 47
C) dfB = 5, dfW = 52
D) dfB = 6, dfW = 52
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21
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, V, are needed.
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22
A researcher is performing a two-way ANOVA using two factors. The first factor has 5 levels and the second factor has 9 levels. In the ANOVA Summary Table, the degrees of freedom for the interaction between the first and second factors will be
A) 32
B) 36
C) 40
D) 45
A) 32
B) 36
C) 40
D) 45
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23
The data consist of the weights in ounces of three different types of digital camera. Use
to see if the means are equal. 


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24
A diet center wanted 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 tabulated below. Given 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
. 


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25
In the Tukey test, if
= 8 for a group size
= 7,
= 13 for a group size
= 7, and the within-group variance
= 21, then the q test value for comparing group 2 to group 4 is
A) -0.01
B) -0.24
C) -1.09
D) -2.89





A) -0.01
B) -0.24
C) -1.09
D) -2.89
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26
Independent variables can also be called ______________.
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27
The ______________ test to detect where the difference is among the means can be used even if the sample sizes are not equal.
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28
Assume that the conclusion from an ANOVA is that the null hypothesis is rejected, in other words that the 7 population means are not all equal. We should expect that
A) all 21 of the comparisons of means
versus
would be significant using the Scheffe test.
B) at least 7 of the comparisons of means
versus
would be significant using the Scheffe test.
C) at least 4 of the comparisons of means
versus
would be significant using the Scheffe test.
D) at least 1 of the comparisons of means
versus
would be significant using the Scheffe test.
A) all 21 of the comparisons of means


B) at least 7 of the comparisons of means


C) at least 4 of the comparisons of means


D) at least 1 of the comparisons of means


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29
Use the following to answer questions :
A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee. Their data is given below.
Compute the test value for the coffee machines.
A) 2.25
B) 5.06
C) 6.62
D) 4.86
A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee. Their data is given below.

Compute the test value for the coffee machines.
A) 2.25
B) 5.06
C) 6.62
D) 4.86
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30
Which of the following assumptions does not apply to the two-way ANOVA?
A) The populations from which the samples were 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.
A) The populations from which the samples were 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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31
A researcher is performing a two-way ANOVA using two factors. The first factor has 4 levels and the second factor has 5 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 5 d.f. for the second factor
B) 3 d.f. for the first factor and 4 d.f. for the second factor
C) 5 d.f. for the first factor and 6 d.f. for the second factor
D) 20 d.f. for the first factor and 20 d.f. for the second factor
A) 4 d.f. for the first factor and 5 d.f. for the second factor
B) 3 d.f. for the first factor and 4 d.f. for the second factor
C) 5 d.f. for the first factor and 6 d.f. for the second factor
D) 20 d.f. for the first factor and 20 d.f. for the second factor
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32
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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33
Use the following to answer question:
The head of the English department wants to determine if the average number of students taking 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 for
?
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.
The head of the English department wants to determine if the average number of students taking 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 for

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.
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34
Complete the formula for the Tukey test: q =
A)
B)
C)
D)
A)

B)

C)

D)

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35
Use the following to answer questions :
A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee. Their data is given below.
Is there a significant difference between the vending machines A, B, and C? Use
.
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.
A vending machine company wants to check three of its machines to determine if they are properly dispensing 12 ounces of coffee. Their data is given below.

Is there a significant difference between the vending machines A, B, and C? Use

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.
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36
Assume that the conclusion from an ANOVA is that the null hypothesis is rejected, in other words that the 9 population means (from equal sized samples) are not all equal. We should expect that
A) all 36 of the comparisons of means
versus
would be significant using the Tukey test.
B) at least 9 of the comparisons of means
versus
would be significant using the Tukey test.
C) at least 5 of the comparisons of means
versus
would be significant using the Tukey test.
D) at least 1 of the comparisons of means
versus
would be significant using the Tukey test.
A) all 36 of the comparisons of means


B) at least 9 of the comparisons of means


C) at least 5 of the comparisons of means


D) at least 1 of the comparisons of means


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37
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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38
A researcher can use the Scheffé or 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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39
In the Scheffe test, if
= 8 for a group size
= 7,
= 11 for a group size
= 7, and the within-group variance
= 14, then the
test value for comparing these two groups is equal to
A) -0.75
B) 2.25
C) 0.64
D) 1.44






A) -0.75
B) 2.25
C) 0.64
D) 1.44
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40
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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41
The figure below is an example of what type of interaction? 
A) disordinal interaction
B) ordinal interaction
C) There is no interaction because the lines do not cross.
D) cardinal interaction

A) disordinal interaction
B) ordinal interaction
C) There is no interaction because the lines do not cross.
D) cardinal interaction
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42
The figure below is a result of a two-way ANOVA, which of the following statements would apply? 
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.

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.
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43
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
. 


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44
The figure below is an example of what type of interaction? 
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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45
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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46
A Two-Way ANOVA Summary Table is shown below.
The critical value for the F test using
= 0.05, 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 (A B) 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 (A B) effect should be rejected.
D) all of the null hypotheses should be accepted.
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47
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 the 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
. 


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48
For a disordinal interaction, the main effects can be interpreted independently of each other.
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49
A Two-Way ANOVA Summary Table is shown below.
The critical value for the F test using
= 0.05, d.f.N. = 2, and d.f.D = 54 is 3.17. 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


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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50
In 2-way ANOVA, each independent variable investigated could have two or more different treatments or ______________.
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51
In 2-way ANOVA, effects of the independent variables are also referred to as the ________________.
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52
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,
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 (A B) effect should be rejected.
D) all of the null hypotheses should be accepted.


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 (A B) effect should be rejected.
D) all of the null hypotheses should be accepted.
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53
A Two-Way ANOVA Summary Table is shown below.
The critical value for the F test using
= 0.05, d.f.N. = 2, and d.f.D = 27 is 3.35. 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.


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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54
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.

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