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.

A key statistical test in research fields including biology, economics and psychology, analysis of variance (ANOVA) is very useful for analyzing datasets. It allows comparisons to be made between ...

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 t-test and analysis of variance (ANOVA) are two of the most common statistical techniques used in practice. These techniques allow researchers to statistically assess the plausibility that a ...

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 ...

When testing whether the means of more than 2 groups are statistically different, you could use a one-way ANOVA. But if you have multiple treatment groups, you can use Dunnett’s one-way ANOVA. ANOVA ...

In a recent Nature Methods Points of Significance piece 1, drug combination was used to illustrate the principles of factorial experiments for the analysis of interaction effects. Factorial analysis ...

A key statistical test in research fields including biology, economics and psychology, analysis of variance (ANOVA) is very useful for analyzing datasets. It allows comparisons to be made between ...