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 ...

The One-Way ANOVA task enables you to perform an analysis of variance when you have a continuous dependent variable and a single classification variable. For example, consider the data set on air ...

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 ...

The Factorial ANOVA task enables you to perform an analysis of variance when you have multiple classification variables. In this example, a factorial model is specified, and a plot of the two-way ...

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 ...