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8 Cards in this Set

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One-sample z-test
- 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
One-sample t-test
- same conditions as z-test EXCEPT do not know the population variance/standard deviation
Independent Groups t-test
- comparing two groups that are unrelated to one another
- different subjects in each group
- have only sample means and sample variance/standard deviations
Dependent Groups t-test
- comparing two different conditions with the same subjects tested in each condition
- have only sample means and sample variance/standard deviation
One-Way Between Subjects Anova
- 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
Two-Way Between Subjects Anova
- 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
One-Way Within Subjects Anova
- 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
Two-Way Mixed Anova
- 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