What Statistical Test To Use?

Front 1

One-sample z-test

Back 1

- must know the population mean, and the population variance/standard deviation
- always testing a sample against a stated population
- never compare two conditions or groups with this test

Front 2

One-sample t-test

Back 2

- same conditions as z-test EXCEPT do not know the population variance/standard deviation

Front 3

Independent Groups t-test

Back 3

- comparing two groups that are unrelated to one another
- different subjects in each group
- have only sample means and sample variance/standard deviations

Front 4

Dependent Groups t-test

Back 4

- comparing two different conditions with the same subjects tested in each condition
- have only sample means and sample variance/standard deviation

Front 5

One-Way Between Subjects Anova

Back 5

- comparing more than 2 groups, different subjects in each group
- looking at only one independent variable
- have only sample means and sample variance/standard deviation

Front 6

Two-Way Between Subjects Anova

Back 6

- comparing more than 2 groups, different subjects in each group
- number of groups = number of cells in the design
- looking at two independent variables
- use this when you want to look at the interactions between 2 variables
- have only sample means and sample variance/standard deviations

Front 7

One-Way Within Subjects Anova

Back 7

- comparing more than 2 groups, same subjects in each group
- looking at only one independent variable
- have only sample means and sample variance/standard deviations

Front 8

Two-Way Mixed Anova

Back 8

- examining at least two independent variables
-one variable is a between-subjects variable (different subjects tested at each level of the variable)
- 2nd variable is a within-subjects variable (same subjects tested at each level of the variable)
- use this when you want to look at the interactions between 2 variables