Question 1

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 B

Question 2

Analysis of variance (ANOVA) performs which type of test?

Accepted Answer

A)  F-test 
B)  t-test 
C)  z-test 
D)  xy-test 
A)  F-test 
B)  t-test 
C)  z-test 
D)  xy-test A

Question 3

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 A

Question 4

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 5

Using an F-distribution table, locate the critical value required to produce a p-value equal to .05.

Accepted Answer

A)  2.95 
B)  2.71 
C)  2.56 
D)  2.46 
A)  2.95 
B)  2.71 
C)  2.56 
D)  2.46

Question 6

An ANOVA works on the basis of comparing systematic and systematic variance, but how is this achieved?

Accepted Answer

A)  Systematic variance / unsystematic variance 
B)  Systematic variance × unsystematic variance 
C)  Unsystematic variance / systematic variance 
D)  Unsystematic variance - systematic variance 
A)  Systematic variance / unsystematic variance 
B)  Systematic variance × unsystematic variance 
C)  Unsystematic variance / systematic variance 
D)  Unsystematic variance - systematic variance

Question 7

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 8

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

Accepted Answer

A)  392.1 
B)  377.7 
C)  364.2 d .369.9 
A)  392.1 
B)  377.7 
C)  364.2 d .369.9

Question 9

An ANOVA works on the basis of comparing systematic and systematic variance, but how is this achieved?

Accepted Answer

A)  Systematic variance / unsystematic variance 
B)  Systematic variance × unsystematic variance 
C)  Unsystematic variance / systematic variance 
D)  Unsystematic variance - systematic variance 
A)  Systematic variance / unsystematic variance 
B)  Systematic variance × unsystematic variance 
C)  Unsystematic variance / systematic variance 
D)  Unsystematic variance - systematic variance

Question 10

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 11

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 12

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 13

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 14

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 15

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.

Question 16

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 17

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 18

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

Accepted Answer

A)  764.2 
B)  746.2 
C)  801.3 
D)  822.6 
A)  764.2 
B)  746.2 
C)  801.3 
D)  822.6

Question 19

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 20

Calculate the η2 (eta squared) value based on the sum of squares between groups and the sum of squares within groups.

Accepted Answer

A)  .7 
B)  .5 
C)  .3 
D)  .1 
A)  .7 
B)  .5 
C)  .3 
D)  .1

Exam 12: Glm 1: Comparing Several Independent Means

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

Analysis of variance (ANOVA) performs which type of test?

How would you calculate the between sum of squares?

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

Using an F-distribution table, locate the critical value required to produce a p-value equal to .05.

An ANOVA works on the basis of comparing systematic and systematic variance, but how is this achieved?

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

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

An ANOVA works on the basis of comparing systematic and systematic variance, but how is this achieved?

How would you describe this effect?

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

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

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

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

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

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

What is the purpose of a post hoc test?

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

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

Calculate the η2 (eta squared) value based on the sum of squares between groups and the sum of squares within groups.

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Calculate the η² (eta squared) value based on the sum of squares between groups and the sum of squares within groups.