Skip to main content
- Cohen’s d
- a measure of effect size based on the differences between two means. If d is between 0 and 0.2 then the effect is small. If d approaches is 0.5, then the effect is medium, and if d approaches 0.8, then it is a large effect.
- Independent Groups
- two samples that are selected from two populations, and the values from one population are not related in any way to the values from the other population.
- Matched Pairs
- two samples that are dependent. Differences between a before and after scenario are tested by testing one population mean of differences.
- Pooled Variance
- a weighted average of two variances that can then be used when calculating standard error.