Analysis of Variance (ANOVA) is a set of statistical methods used to compare the means of two or more samples. ANOVA can be treated as a special case of general linear regression where independent variables are the nominal categories or factors. Each value that can be taken by a factor is referred to as a level.

•One-Way Analysis of Variance

Compares the sample means for k groups. Analysis of variance (ANOVA) extends the two-sample t-test, which compares two population means

•Two-Way Analysis of Variance

This procedure is a direct extension of one-way analysis of variance. In this case, data are grouped according to two factors rather than a single factor.

•One-Way Repeated Analysis of Variance

Calculates and summarizes the information of a one-way repeated Analysis of Variance.

•Two-Way Repeated Analysis of Variance

Performs a balanced two-way analysis of variance with repeated measures on one factor.

•Two-Way Full Repeated Analysis of Variance

Performs a balanced two-way analysis of variance with repeated measures on both factors.