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.

Analysis of variance (ANOVA) is a classical statistics technique that's used to infer if the unknown means (averages) of three or more groups are likely to all be equal or not, based on the variances ...

The first step in using ANOVA is to define a clear and specific research question that you want to answer. The research question should involve one or more independent variables (factors) that you can ...

New to this type of analysis? It's a classic statistics technique that is still useful. Here's a technique for doing a one-way ANOVA using R. Analysis of variance (ANOVA) is a classical statistics ...

This short course will cover the one sample t-test, the two sample t-test, matched-pairs t-test, one-way ANOVA (Analysis of Variance), two-way ANOVA and ANCOVA (Analysis of Covariance). These ...

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) ...