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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