One-way analysis of variance (One-Way ANOVA) procedures produce an analysis for a quantitative dependent variable affected by a single factor (independent variable). Analysis of variance is used to test the hypothesis that several means are equal. This technique is an extension of the two-sample t test. Think of it as a generalization of the pooled t test. Instead of two populations (as in the case of a t test), there are more than two populations or treatments. Created by the ITS Training Program at CSULA for students.