Choosing Tests

Question 1

One IV; two treatments; two independent groups; interval or ratio (homogenous)

Answer 1

T-test independent

Question 2

One IV; two treatments; two independent groups; ordinal (heterogenous)

Answer 2

Mann-Whitney U test

Question 3

One IV; two treatments; two independent groups; nominal (difference of frequencies)

Answer 3

Chi-square test

Question 4

One IV; two treatments; within subjects; interval or ratio (homogenous)

Answer 4

T-test within

Question 5

One IV; two treatments; within subjects; ordinal (heterogenous)

Answer 5

Wilcoxon test

Question 6

One IV; more than two treatments; multiple independent groups; interval or ratio (homogenous)

Answer 6

One-way ANOVA

Question 7

One IV; more than two treatments; multiple within subjects; interval or ratio (homogenous)

Answer 7

One-way ANOVA (repeated)

Question 8

One IV; more than two treatments; multiple independent groups; ordinal (heterogenous)

Answer 8

Kruskal-Wallis test

Question 9

One IV; more than two treatments; multiple within subjects; ordinal (heterogenous)

Answer 9

Friedman test

Question 10

One IV; more than two treatments; multiple independent groups; nominal (difference of frequencies)

Answer 10

Chi-square test

Question 11

Two IV; factorial designs; independent groups; interval or ratio (homogenous)

Answer 11

Two-way ANOVA

Question 12

Two IV; factorial designs; independent groups and within; interval or ratio (homogenous)

Answer 12

Two-way ANOVA (mixed); split plot (combination of t-test independent and dependent)

Question 13

Two IV; factorial designs; within subjects; interval or ratio (homogenous)

Answer 13

Two-way ANOVA (repeated measures)

Question 14

Degree of variability in which the scores of subjects in the same treatment group differ from each other

Answer 14

Within groups variability

Question 15

Degree of variability in which scores of different treatment groups differ from one another

Answer 15

Between groups variability

Question 16

What are the sources of variability?

Answer 16

Individual differences; human error in conducting the actual experiment and computation; experimental manipulation; extraneous variables; treatment effects

Question 17

Ratio between within group variability and between group variability

Answer 17

F Ratio

Question 18

What are the assumptions for the test of ANOVA?

Answer 18

Treatment groups should be dependent with each other an samples are randomly selected

Question 19

Average squared definition

Answer 19

Mean square

Question 20

Represent the portion of variability in the data that is produced by the combination of sources that we call error

Answer 20

Mean square within groups

Question 21

Represents the amount of variability produced by both error and treatment effects in the experiment

Answer 21

Mean square between groups

Question 22

The effect of the interaction of the two IVs involved in the experiment

Answer 22

Interaction effect

Question 23

Impact of each IV produced from each factor

Answer 23

Main effects

Question 24

Type of chi square test that tests the hypothesis about that shape or proportions of a population distribution

Answer 24

Test for Goodness of Fit

Question 25

Type of chi square test that is used for analyzing the relationship between two categorical variables

Answer 25

Test for Independence

Question 26

Non parametric test used to determine differences between groups of paired data. Used for 2 related measures

Answer 26

Wilcoxon test

Question 27

Non parametric test used to analyze the degree of separation between experimental and control groups.

Answer 27

Mann Whitney U tests

Question 28

Non parametric test used to detect differences in treatments across multiple test attempts

Answer 28

Friedman tests

Question 29

Non parametric test used with k independent groups where k is equal or greater than 3 and the scale is ordinal and used to compare differences within groups

Answer 29

Kruskal Wallis tests