Question 1

Run an appropriate test between the pre-test and post-test data of the control group. What is the result of the test?

Accepted Answer

A)  Ws = 163.5, z = 1.205, p = .228 
B)  Ws = 1.205, z = 163.5, p = .228 
C)  Ws = .228, z = 1.205, p = 163.5 
D)  Ws = 163.5, z = .228, p = 1.205 
A)  Ws = 163.5, z = 1.205, p = .228 
B)  Ws = 1.205, z = 163.5, p = .228 
C)  Ws = .228, z = 1.205, p = 163.5 
D)  Ws = 163.5, z = .228, p = 1.205 A

Question 2

What factors are likely to influence the effect size? (You may select more than one.)

Accepted Answer

A)  Sample size 
B)  Significance 
C)  Population demographic 
D)  Sampling method 
A)  Sample size 
B)  Significance 
C)  Population demographic 
D)  Sampling method A,B

Question 3

Which test can be considered the non-parametric equivalent to an independent t-test?

Accepted Answer

A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  Friedman's ANOVA 
A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  Friedman's ANOVA B

Question 4

Since there are three sets of data, how will the differences within the data sets be identified?

Accepted Answer

A)  Multiple Wilcoxon tests 
B)  Multiple Mann-Whitney tests 
C)  Multiple sign tests 
D)  None of the tests are appropriate. 
A)  Multiple Wilcoxon tests 
B)  Multiple Mann-Whitney tests 
C)  Multiple sign tests 
D)  None of the tests are appropriate.

Question 5

Examine the following Q-Q plot from the pre-test control group. What can be assumed from the graph?

Accepted Answer

A)  Data may not be normally distributed because the points deviate from the diagonal line. 
B)  Data are definitely not normally distributed because the points deviate from the diagonal line. 
C)  Data may be normally distributed because the points deviate from the diagonal line. 
D)  Data are definitely normally distributed because the points deviate from the diagonal line. 
A)  Data may not be normally distributed because the points deviate from the diagonal line. 
B)  Data are definitely not normally distributed because the points deviate from the diagonal line. 
C)  Data may be normally distributed because the points deviate from the diagonal line. 
D)  Data are definitely normally distributed because the points deviate from the diagonal line.

Question 6

Which is the correct expression for the Kolmogorov-Smirnov test result for the control group pre-test score?

Accepted Answer

A)  D(30) = .181, p = .014 
B)  D(30) = .140, p = .140 
C)  D(30) = .122, p > .2 
D)  D(30) = .203, p = .003 
A)  D(30) = .181, p = .014 
B)  D(30) = .140, p = .140 
C)  D(30) = .122, p > .2 
D)  D(30) = .203, p = .003

Question 7

Calculate the effect size for the test conducted on the experimental group data (Q13).

Accepted Answer

A)  r = -.82 
B)  r = .72 
C)  r = -.62 
D)  r = .52 
A)  r = -.82 
B)  r = .72 
C)  r = -.62 
D)  r = .52

Question 8

Examine the following Q-Q plot from the pre-test control group. What can be assumed from the graph?

Accepted Answer

A)  Data may not be normally distributed because the points deviate from the diagonal line. 
B)  Data are definitely not normally distributed because the points deviate from the diagonal line. 
C)  Data may be normally distributed because the points deviate from the diagonal line. 
D)  Data are definitely normally distributed because the points deviate from the diagonal line. 
A)  Data may not be normally distributed because the points deviate from the diagonal line. 
B)  Data are definitely not normally distributed because the points deviate from the diagonal line. 
C)  Data may be normally distributed because the points deviate from the diagonal line. 
D)  Data are definitely normally distributed because the points deviate from the diagonal line.

Question 9

Where were differences between the data sets? (You may select more than one option.)

Accepted Answer

A)  Pre and Post 
B)  Pre and Post + 12 
C)  Post and Post + 12 
D)  No differences were identified. 
A)  Pre and Post 
B)  Pre and Post + 12 
C)  Post and Post + 12 
D)  No differences were identified.

Question 10

If we wanted to compare the control group results with the experimental group results for the pre and post conditions, what type of research design would we use?

Accepted Answer

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

Question 11

Which of the following descriptions best explains non-parametric tests?

Accepted Answer

A)  Assumption-free 
B)  More likely to protect against Type II error 
C)  Robust 
D)  Normally distributed 
A)  Assumption-free 
B)  More likely to protect against Type II error 
C)  Robust 
D)  Normally distributed

Question 12

Run an appropriate test between the pre-test and post-test data of the experimental group. What is the result of the test?

Accepted Answer

A)  Ws = 1.5, z = -4.514, p s = -4.514, z = 1.5, p s = 1.5, z = -4.514, p = .000 
D)  Ws = -4.514, z = 1.5, p = .000 
A)  Ws = 1.5, z = -4.514, p s = -4.514, z = 1.5, p s = 1.5, z = -4.514, p = .000 
D)  Ws = -4.514, z = 1.5, p = .000

Question 13

Which test can be considered the non-parametric equivalent to an independent t-test?

Accepted Answer

A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  Friedman's ANOVA 
A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  Friedman's ANOVA

Question 14

Which of the following are non-parametric tests?

Accepted Answer

A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  All of the above 
A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  All of the above

Question 15

Which of the following descriptions best explains non-parametric tests?

Accepted Answer

A)  Assumption-free 
B)  More likely to protect against Type II error 
C)  Robust 
D)  Normally distributed 
A)  Assumption-free 
B)  More likely to protect against Type II error 
C)  Robust 
D)  Normally distributed

Question 16

View the anxiety data (Sport Competitive Anxiety Test - SCAT) collected from a group of middle-distance runners. All the runners completed the questionnaire before being split into either a control group (who received no imagery intervention) or an experimental group (who received an imagery intervention). The anxiety scores were then measured again after 6 weeks. If we wanted to compare the control group results with the experimental group results, what type of research design would we use?

Accepted Answer

A)  Independent-groups design 
B)  Repeated-measures design 
C)  Dependent-groups design 
D)  Matched-pairs design 
A)  Independent-groups design 
B)  Repeated-measures design 
C)  Dependent-groups design 
D)  Matched-pairs design

Question 17

Analyse the group data by using a Kolmogorov-Smirnov test. Which data sets are not normally distributed ?

Accepted Answer

A)  Control group pre-test score and experimental group post-test score 
B)  Control group post-test score and experimental group pre-test score 
C)  Control group pre-test score and experimental group pre-test score 
D)  Control group post test score and experimental group post-test score 
A)  Control group pre-test score and experimental group post-test score 
B)  Control group post-test score and experimental group pre-test score 
C)  Control group pre-test score and experimental group pre-test score 
D)  Control group post test score and experimental group post-test score

Question 18

What is the parametric equivalent of a Kruskal-Wallis test?

Accepted Answer

A)  One-way ANOVA 
B)  Repeated-measures ANOVA 
C)  Two-way ANOVA 
D)  Three-way ANOVA 
A)  One-way ANOVA 
B)  Repeated-measures ANOVA 
C)  Two-way ANOVA 
D)  Three-way ANOVA

Question 19

When using non-parametric tests, which measure of central tendency is preferred when summarizing a set of data?

Accepted Answer

A)  Median 
B)  Mean 
C)  Mode 
D)  None of the above are appropriate. 
A)  Median 
B)  Mean 
C)  Mode 
D)  None of the above are appropriate.

Question 20

Which of the following are non-parametric tests?

Accepted Answer

A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  All of the above 
A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  All of the above

Run an appropriate test between the pre-test and post-test data of the control group. What is the result of the test?

What factors are likely to influence the effect size? (You may select more than one.)

Which test can be considered the non-parametric equivalent to an independent t-test?

Since there are three sets of data, how will the differences within the data sets be identified?

Examine the following Q-Q plot from the pre-test control group. What can be assumed from the graph?

Which is the correct expression for the Kolmogorov-Smirnov test result for the control group pre-test score?

Calculate the effect size for the test conducted on the experimental group data (Q13).

Examine the following Q-Q plot from the pre-test control group. What can be assumed from the graph?

Where were differences between the data sets? (You may select more than one option.)

If we wanted to compare the control group results with the experimental group results for the pre and post conditions, what type of research design would we use?

Which of the following descriptions best explains non-parametric tests?

Run an appropriate test between the pre-test and post-test data of the experimental group. What is the result of the test?

Which test can be considered the non-parametric equivalent to an independent t-test?

Which of the following are non-parametric tests?

Which of the following descriptions best explains non-parametric tests?

Analyse the group data by using a Kolmogorov-Smirnov test. Which data sets are not normally distributed ?

What is the parametric equivalent of a Kruskal-Wallis test?

When using non-parametric tests, which measure of central tendency is preferred when summarizing a set of data?

Which of the following are non-parametric tests?

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

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

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 7: Non-Parametric Models

Run an appropriate test between the pre-test and post-test data of the control group. What is the result of the test?

What factors are likely to influence the effect size? (You may select more than one.)

Which test can be considered the non-parametric equivalent to an independent t-test?

Since there are three sets of data, how will the differences within the data sets be identified?

Examine the following Q-Q plot from the pre-test control group. What can be assumed from the graph?

Which is the correct expression for the Kolmogorov-Smirnov test result for the control group pre-test score?

Calculate the effect size for the test conducted on the experimental group data (Q13).

Examine the following Q-Q plot from the pre-test control group. What can be assumed from the graph?

Where were differences between the data sets? (You may select more than one option.)

If we wanted to compare the control group results with the experimental group results for the pre and post conditions, what type of research design would we use?

Which of the following descriptions best explains non-parametric tests?

Run an appropriate test between the pre-test and post-test data of the experimental group. What is the result of the test?

Which test can be considered the non-parametric equivalent to an independent t-test?

Which of the following are non-parametric tests?

Which of the following descriptions best explains non-parametric tests?

Analyse the group data by using a Kolmogorov-Smirnov test. Which data sets are not normally distributed ?

What is the parametric equivalent of a Kruskal-Wallis test?

When using non-parametric tests, which measure of central tendency is preferred when summarizing a set of data?

Which of the following are non-parametric tests?

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

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

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