Question 1

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 2

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 3

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

Question 4

What type of research design does a one-way ANOVA adopt?

Accepted Answer

A)  Independent-groups design 
B)  Repeated-measures design 
C)  Within-groups design 
D)  Mixed model design 
A)  Independent-groups design 
B)  Repeated-measures design 
C)  Within-groups design 
D)  Mixed model design

Question 5

Analyse the cycling time-trial data below. Thirty-two elite cyclists were randomly allocated into one of four groups. Without using SPSS, calculate the mean and total for each group. The groups were as follows 
i. Received caffeine and were told it was
ii. Received caffeine and were told it was not
iii. Received no caffeine and were told it was not
iv. Received no caffeine but were told it was
  Group 1-
v. Mean: 45.9 km
vi. Total:367 km
Group 2
vii. Mean:39.9 km
Viii. Total:319 km
Group 3
ix. Mean:38.9 km
x. Total:311 km
Group 4
xi. Mean:46.8 km
xii. Total:374 km
How would you calculate the total sum of squares?

Accepted Answer

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

Question 6

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 7

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

Question 8

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 9

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 10

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 11

Analyse the cycling time-trial data below. Thirty-two elite cyclists were randomly allocated into one of four groups. Without using SPSS, calculate the mean and total for each group. The groups were as follows 
i. Received caffeine and were told it was
ii. Received caffeine and were told it was not
iii. Received no caffeine and were told it was not
iv. Received no caffeine but were told it was
  Group 1-
v. Mean: 45.9 km
vi. Total:367 km
Group 2
vii. Mean:39.9 km
Viii. Total:319 km
Group 3
ix. Mean:38.9 km
x. Total:311 km
Group 4
xi. Mean:46.8 km
xii. Total:374 km
How would you calculate the total sum of squares?

Accepted Answer

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

Question 12

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 13

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 14

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 15

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 16

What type of research design does a one-way ANOVA adopt?

Accepted Answer

A)  Independent-groups design 
B)  Repeated-measures design 
C)  Within-groups design 
D)  Mixed model design 
A)  Independent-groups design 
B)  Repeated-measures design 
C)  Within-groups design 
D)  Mixed model design

Question 17

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 18

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 19

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 20

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.

How would you calculate the between sum of squares?

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

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

What type of research design does a one-way ANOVA adopt?

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

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

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

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?

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

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 total sum of squares for the time-trial data.

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

What type of research design does a one-way ANOVA adopt?

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

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

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

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

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

Exam 12: Glm 1: Comparing Several Independent Means

How would you calculate the between sum of squares?

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

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

What type of research design does a one-way ANOVA adopt?

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

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

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

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?

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

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 total sum of squares for the time-trial data.

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

What type of research design does a one-way ANOVA adopt?

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

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

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

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

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.