Analysis of Variance (ANOVA) is a statistical technique used in experimental design. It is an extension of the t-test, which is used to compare the means and variances of two or more groups.
The analysis of variance (ANOVA) is a statistical method that divides a data set's observed aggregate variability into two parts: systematic components and random factors. Random factors have no statistical impact on the supplied data set, whereas systematic influences do.
The main and interaction effects of categorical factors on a continuous dependent variable are tested using analysis of covariance, which controls for the effects of selected other continuous variables that co-vary with the dependent. The "covariates" are the control variables.