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In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes ttest to more than two groups. ANOVAs are helpful because they possess an advantage over a twosample ttest. Doing multiple twosample ttests would result in an increased chance of committing a type I error. For this reason, ANOVAs are useful in comparing three or more means.
Contents
Overview
There are three classes of ANOVA models:
Models
Fixedeffects models (Model 1)
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