Question 1

If a one-way ANOVA is considered a parametric test, what is its non-parametric equivalent?

Accepted Answer

A)  Kruskal-Wallis ANOVA 
B)  Friedman's ANOVA 
C)  Roy's largest root 
D)  There is no non-parametric equivalent, therefore multiple Mann-Whitney tests should be used. 
A)  Kruskal-Wallis ANOVA 
B)  Friedman's ANOVA 
C)  Roy's largest root 
D)  There is no non-parametric equivalent, therefore multiple Mann-Whitney tests should be used. A

Question 2

What is the correct expression for the one-way ANOVA based on the information presented in the table below?

Accepted Answer

A)  F(3, 28) = 9.83, p (3, 28) = 9.83, p = .000 
C)  F(3, 28) = .001, p (3, 28) = .001, p = 9.83 
A)  F(3, 28) = 9.83, p (3, 28) = 9.83, p = .000 
C)  F(3, 28) = .001, p (3, 28) = .001, p = 9.83 A

Question 3

Which two post hoc tests typically control for Type I error?

Accepted Answer

A)  Bonferroni 
B)  Tukey 
C)  Least significant difference 
D)  Studentized Newman-Keuls 
A)  Bonferroni 
B)  Tukey 
C)  Least significant difference 
D)  Studentized Newman-Keuls A,B

Question 4

Based on the information presented in Q15, what can be assumed from the result?

Accepted Answer

A)  There is a significant difference somewhere between the four groups but the location of the differences is not known. 
B)  There are no significant differences between the four groups. 
C)  Significant differences are only located between those that received caffeine and those that did not receive caffeine. 
D)  Significant differences were identified between all of the groups. 
A)  There is a significant difference somewhere between the four groups but the location of the differences is not known. 
B)  There are no significant differences between the four groups. 
C)  Significant differences are only located between those that received caffeine and those that did not receive caffeine. 
D)  Significant differences were identified between all of the groups.

Question 5

The choice of post hoc test depends on which of the following?

Accepted Answer

A)  Number of observations in each group 
B)  Choice of whether to control for Type I or Type II error 
C)  All post hoc tests are fairly similar 
D)  Whether homogeneity is present or not 
A)  Number of observations in each group 
B)  Choice of whether to control for Type I or Type II error 
C)  All post hoc tests are fairly similar 
D)  Whether homogeneity is present or not

Question 6

Examine the Levene's test table. What can be deduced from the finding?

Accepted Answer

A)  The Levene's test is not significant and therefore the null hypothesis is rejected. 
B)  The Levene's test is not significant and therefore the null hypothesis is accepted. 
C)  The Levene's test is significant and therefore the null hypothesis is rejected. 
D)  The Levene's test is significant and therefore the null hypothesis is accepted. 
A)  The Levene's test is not significant and therefore the null hypothesis is rejected. 
B)  The Levene's test is not significant and therefore the null hypothesis is accepted. 
C)  The Levene's test is significant and therefore the null hypothesis is rejected. 
D)  The Levene's test is significant and therefore the null hypothesis is accepted.

Question 7

What is the purpose of a post hoc test?

Accepted Answer

A)  It identifies where differences between the study groups exist. 
B)  It identifies the overall appropriateness of the ANOVA model. 
C)  It identifies differences between and within study groups. 
D)  It identifies where differences within the study group exist. 
A)  It identifies where differences between the study groups exist. 
B)  It identifies the overall appropriateness of the ANOVA model. 
C)  It identifies differences between and within study groups. 
D)  It identifies where differences within the study group exist.

Question 8

Based on the answers provided in Q7, calculate the within sum of squares for the time-trial data.

Accepted Answer

A)  372.1 
B)  389.7 
C)  401.7 
D)  456.8 
A)  372.1 
B)  389.7 
C)  401.7 
D)  456.8

Question 9

Does an ANOVA test identify specifically where the differences exist between the groups?

Accepted Answer

A)  No 
B)  Yes 
C)  Yes, provided the data are normally distributed 
D)  Yes, provided the data are not normally distributed 
A)  No 
B)  Yes 
C)  Yes, provided the data are normally distributed 
D)  Yes, provided the data are not normally distributed

Question 10

Based on the answers provided in Q7, calculate the within sum of squares for the time-trial data.

Accepted Answer

A)  372.1 
B)  389.7 
C)  401.7 
D)  456.8 
A)  372.1 
B)  389.7 
C)  401.7 
D)  456.8

Question 11

When would it be appropriate to use the planned comparisons instead of the post hoc tests to identify differences in the time-trial groups?

Accepted Answer

A)  When specific hypotheses have been generated before the experiment. 
B)  Comparisons should always be run with post hoc tests. 
C)  Comparisons should be run in place of post hoc tests when no hypothesis has been planned prior to the experiment. 
D)  Neither post hoc tests or comparisons are really necessary, as they only provide supplementary information. 
A)  When specific hypotheses have been generated before the experiment. 
B)  Comparisons should always be run with post hoc tests. 
C)  Comparisons should be run in place of post hoc tests when no hypothesis has been planned prior to the experiment. 
D)  Neither post hoc tests or comparisons are really necessary, as they only provide supplementary information.

Question 12

If the value for F-statistic in Q15 were to decrease, what would happen to the p-value?

Accepted Answer

A)  Decrease - become more significant. 
B)  Increase - become less significant. 
C)  The p-value is unaffected by the F-statistic 
D)  The p-value could increase or decrease depending on the between- and within-groups degrees of freedom. 
A)  Decrease - become more significant. 
B)  Increase - become less significant. 
C)  The p-value is unaffected by the F-statistic 
D)  The p-value could increase or decrease depending on the between- and within-groups degrees of freedom.

Question 13

For an ANOVA to be used, what is the minimum number of data sets required?

Accepted Answer

A)  2 
B)  3 
C)  4 
D)  5 
A)  2 
B)  3 
C)  4 
D)  5

Question 14

How would you describe this effect?

Accepted Answer

A)  Large effect 
B)  Medium effect 
C)  Small effect 
D)  Very small effect 
A)  Large effect 
B)  Medium effect 
C)  Small effect 
D)  Very small effect

Question 15

How would you calculate the within sum of squares?

Accepted Answer

A)  SSW = SST - SSB 
B)  SSW = SST + SSB 
C)  SSW = SSB / SST 
D)  SSW = SSB × SST 
A)  SSW = SST - SSB 
B)  SSW = SST + SSB 
C)  SSW = SSB / SST 
D)  SSW = SSB × SST

Question 16

Which two post hoc tests typically control for Type I error?

Accepted Answer

A)  Bonferroni 
B)  Tukey 
C)  Least significant difference 
D)  Studentized Newman-Keuls 
A)  Bonferroni 
B)  Tukey 
C)  Least significant difference 
D)  Studentized Newman-Keuls

Question 17

How would you calculate the between sum of squares?

Accepted Answer

A)  SSB = SST - SSW 
B)  SSB = SST + SSW 
C)  SSB = SSW / SST 
D)  SSB = SSW × SST 
A)  SSB = SST - SSW 
B)  SSB = SST + SSW 
C)  SSB = SSW / SST 
D)  SSB = SSW × SST

Question 18

Suppose you decided to run multiple independent t-tests as opposed to a one-way ANOVA and subsequent contrasts and/or post hoc tests. How should you correct for the p-value?

Accepted Answer

A)  Apply a Bonferroni correction. 
B)  No adjustment to the p-value is necessary. 
C)  You should never use multiple t-tests. 
D)  Conduct a Levene's adjustment. 
A)  Apply a Bonferroni correction. 
B)  No adjustment to the p-value is necessary. 
C)  You should never use multiple t-tests. 
D)  Conduct a Levene's adjustment.

Question 19

What is the correct expression for the one-way ANOVA based on the information presented in the table below?

Accepted Answer

A)  F(3, 28) = 9.83, p (3, 28) = 9.83, p = .000 
C)  F(3, 28) = .001, p (3, 28) = .001, p = 9.83 
A)  F(3, 28) = 9.83, p (3, 28) = 9.83, p = .000 
C)  F(3, 28) = .001, p (3, 28) = .001, p = 9.83

Question 20

How would you calculate the between sum of squares?

Accepted Answer

A)  SSB = SST - SSW 
B)  SSB = SST + SSW 
C)  SSB = SSW / SST 
D)  SSB = SSW × SST 
A)  SSB = SST - SSW 
B)  SSB = SST + SSW 
C)  SSB = SSW / SST 
D)  SSB = SSW × SST

Exam 12: Glm 1: Comparing Several Independent Means

If a one-way ANOVA is considered a parametric test, what is its non-parametric equivalent?

What is the correct expression for the one-way ANOVA based on the information presented in the table below?

Which two post hoc tests typically control for Type I error?

Based on the information presented in Q15, what can be assumed from the result?

The choice of post hoc test depends on which of the following?

Examine the Levene's test table. What can be deduced from the finding?

What is the purpose of a post hoc test?

Based on the answers provided in Q7, calculate the within sum of squares for the time-trial data.

Does an ANOVA test identify specifically where the differences exist between the groups?

Based on the answers provided in Q7, calculate the within sum of squares for the time-trial data.

When would it be appropriate to use the planned comparisons instead of the post hoc tests to identify differences in the time-trial groups?

If the value for F-statistic in Q15 were to decrease, what would happen to the p-value?

For an ANOVA to be used, what is the minimum number of data sets required?

How would you describe this effect?

How would you calculate the within sum of squares?

Which two post hoc tests typically control for Type I error?

How would you calculate the between sum of squares?

Suppose you decided to run multiple independent t-tests as opposed to a one-way ANOVA and subsequent contrasts and/or post hoc tests. How should you correct for the p-value?

What is the correct expression for the one-way ANOVA based on the information presented in the table below?

How would you calculate the between sum of squares?

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