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.

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 ...

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) ...

Statistical analysis is a vital component of improving workflows in a given project. To make the most of your data analysis, you’ll want to use ANOVA. So, what exactly is ANOVA? While this can seem a ...

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 ...