One-way ANOVA

In statistics, one-way analysis of variance (abbreviated one-way ANOVA) is a technique used to compare means of two or more samples (using the F distribution). This technique can be used only for numerical data.

Assumptions
The results of a one-way ANOVA can be considered reliable as long as the following assumptions are met: ANOVA is a relatively robust procedure with respect to violations of the normality assumption (Kirk, 1995) If data are ordinal, a non-parametric alternative to this test should be used - Kruskal-Wallis one-way analysis of variance.
 * Response variable must be normally distributed (or approximately normally distributed).
 * Samples are independent.
 * Variances of populations are equal.