Explore the distinctions between one-way and two-way ANOVA, including their assumptions and hypotheses. Understand which test suits your data analysis needs.

Analysis of variance (ANOVA) is a statistical analysis tool that separates the total variability found within a data set into two components: random and systematic factors.

Estimation and testing of the effects of multiple treatments, usually including appropriate replication, can be done using analysis of variance (ANOVA).

ANOVA will tell you whether there is a statistically significant difference in the population means of three or more groups of data. But which means are different? Tukey’s will tell you that ...

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.