Learn what analysis of variance (ANOVA) is, how it works, and when to use it. See how it helps compare means across multiple data groups in statistics and research.

Read on to learn more about what a t-test is, the different formulas used, and when to apply each type to compare means and analyze statistical significance.

Meta-analysis is a commonly used approach to increase the sample size for genome-wide association searches when individual studies are otherwise underpowered. Here, we present a meta-analysis ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

Sequential probability ratio tests for the components of variance in a random-effects model are studied. The test criteria are based on range estimates in place of the usual mean squares. The ...

Mediation effects of multiple mediators are determined by two associations: one between an exposure and mediators (S-M) and the other between the mediators and an outcome conditional on the exposure ...

The table above is from the new study in Science Magazine “Gender Similarities Characterize Math Performance” (abstract free, $10 for full study) recently discussed here on CD, in the WSJ, and on ...