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One-sample t test
Comparing a sample mean to a population
Dependent samples t test
Comparing the mean of a sample's scores at one time-point to the mean of the same sample's scores at a different time point.
Dependent samples t test
Comparing the mean of one sample to the mean of a second sample where participants are matched/paired.
Independent samples t test
Comparing the means of two separate samples
One-way ANOVA
Comparing the means of more than two separate samples. Examining the effects of one categorical independent variable on one numeric dependent variable.
Two-factor ANOVA
Examining the effects of more than one categorical independent variable on one numeric dependent variable.
Correlation
Examining the association between two numeric variables.
Regression
Examining the effects of more than one numeric independent variable on one numeric dependent variable.