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Diagnostic Test: Test Selection

This diagnostic test helps you determine your strengths and weakness in the area of statistical test selection. This assessment is designed to evaluate your personal ability to select the correct statistical tests. Do Not Use Any Reference Material. This diagnostic assessment covers the most commonly used statistical tests needed to analyze data. The score scale is as follows:
90%+ = highly advanced
80%-89% = advanced
70%-79% = proficient
69% or below = low proficiency
(Tutor or statistics prep course  recommended)

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Question 1 of 13

For each of the following questions, please select which statistical test you would use to answer the research question.

Is heart rate recovery time similar for both females and males?
Variables:
Gender - Nominal;
Heart Rate Recovery Time - Ratio

A

chi-square test of independence

B

independents samples t-test

C

mixed design ANOVA

D

dependent samples t-test

E

Repeated Measures ANOVA

F

two-way ANOVA

G

one-way ANOVA

Question 2 of 13

What effect does depression have on problems sleeping?
Variables:
Depression - Interval
Problem Sleeping - nominal

A

Chi-square test of independence

B

Pearson correlation

C

Mixed design ANOVA

D

Bivariate regression

E

Logistic regression

F

multiple regression

Question 3 of 13

Are gender and income a predictor of life stress?
Variables
Gender - nominal
Income - ratio
Stress - interval

A

Bivariate regression

B

multiple regression

C

Mixed design ANOVA

D

Pearson correlation

E

Chi-square test of independence

F

Logistic regression

Question 4 of 13

Is there a relationship between income and life expectancy?
Variables:
Income - ratio
life expectancy - ratio

A

Chi-square test of independence

B

Bivariate regression

C

Mixed design ANOVA

D

Pearson correlation

E

multiple regression

F

logistic regression

Question 5 of 13

Is there an association between participation in a rehabilitation program and 2nd arrest for first time criminals?
Variables:
Participation in a rehabilitation program - nominal
2nd Arrest - nominal

A

Mixed design ANOVA

B

Repeated Measures ANOVA

C

Two-way ANOVA

D

One-way ANOVA

E

dependent samples t-test

F

Chi-square test of independence

G

independent samples t-test

Question 6 of 13

Are there gender differences in fear of statistics scores across the three time periods (pretest, post-test, and 3-month follow-up)?
Variables:
Gender - Nominal
Time - Ordinal
Fear of Statistics - Interval

A

Chi-square test of independence

B

Mixed design ANOVA

C

Repeated Measures ANOVA

D

Two-way ANOVA

E

One-way ANOVA

F

dependent samples t-test

G

independent samples t-test

Question 7 of 13

Are  there changes in fear of statistics scores across the pretest, posttest, and 3 month follow-up?
Variables:
Time - ordinal
Fear of Statistics - Interval

A

Mixed design ANOVA

B

Chi-square test of independence

C

Repeated Measures ANOVA

D

independent samples t-test

E

dependent samples t-test

F

One-way ANOVA

G

Two-way ANOVA

Question 8 of 13

Are SAT scores similar across the 5 regions of the U.S.
Variables:
Regions - Nominal
SAT Scores - Interval

A

Independents samples t-test

B

Dependent samples t-test

C

Two-way ANOVA

D

One-way ANOVA

E

Repeated Measures ANOVA

F

Mixed design ANOVA

G

Chi-square test of independence

Question 9 of 13

Is there a significant change in depression scores from pretest to the post-test?
Variables:
Time - Ordinal
Depression Scores - Interval

A

Independent samples t-test

B

Dependent samples t-test

C

One-way ANOVA

D

Two-way ANOVA

E

Repeated Measures ANOVA

F

Mixed design ANOVA

G

Chi-square test of independence

Question 10 of 13

Does income predict life expectancy?
Variables
Income - Ratio
Life expectancy - Ratio

A

Pearson correlation

B

Bivariate regression

C

Multiple regression

D

Logistic regression

E

Mixed design ANOVA

F

Chi-square test of independence

Question 11 of 13

Is there a gender and ethnicity effect on math scores?
Variables:
Gender - Nominal;
Ethnicity - Nominal;
Math Scores - Ratio

A

independent samples t-test

B

dependent samples t-test

C

One-way ANOVA

D

Two-way ANOVA

E

Repeated Measures ANOVA

F

Mixed design ANOVA

G

Chi-square test of independence

Question 12 of 13

Are gender and depression predictive of problems sleeping?
Variables
Gender - nominal
Depression Scores - interval
Problem Sleeping - nominal

A

Pearson correlation

B

Bivariate regression

C

multiple regression

D

Logistic regression

E

Mixed design ANOVA

F

Chi-square test of independence

Question 13 of 13

Does income and life stress predict daily caloric intake?
Variables:
Income - Ratio
Life Stress - Interval
Daily Caloric Intake - Ratio

A

Pearson correlation

B

Bivariate regression

C

Multiple regression

D

Logistic regression

E

Mixed design ANOVA

F

Chi-square test of independence

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