**ANOVA**is a statistics test which, exactly like a t-test, compares sample means to see whether the difference between these samples is statistically significant. However, unlike t-tests, ANOVA can be used to compare not only 2, but 3 or more samples - in fact, as many as you like!

Also like with the t-test, there is ANOVA test for unrelated and related samples. In this post, I will only discuss the unrelated-subjects design: that is, when all the participants are tested only once.

ANOVA can also be two-ways, three-ways etc. - depending on how many independent variables there are in an experiment. Today I will look at the one-way ANOVA, which works with one IV. As always, I will cover the assumptions, logic behind the test and show step-by-step calculation using an example.