One-Way ANOVA

Analysis of variance (ANOVA) is part of a family of analyses aimed at comparing means, which includes one-way ANOVA, repeated-measures ANOVA, factorial ANOVA, and mixed-factorial ANOVA. In general, an ANOVA is used to compare three or more means; however, it can be used to compare two means on a single factor - but you might as well just use an independent-samples t-test if this is the case.
The one-way ANOVA refers to one of the most basic forms of ANOVA - specifically, an ANOVA in which there is only a single categorical predictor variable and a continuous outcome variable. The term “one-way” indicates that there is just a single factor (i.e., predictor variable, independent variable). If we were to have two categorical predictor variables, then we could call the corresponding analysis a factorial ANOVA or more specifically a two-way ANOVA. A one-way ANOVA is employed to test the equality of two or more means on a continuous (interval, ratio) outcome variable (i.e., dependent variable) all at once by using information about the variances.
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