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The One-Way ANOVA (Analysis of Variance) test is used to find out whether several different groups or populations can be considered statistically different or not. It is the extension of the Independent-Samples T-Test to more than 2 groups. To perform a One-Way ANOVA, two variables are needed: a categorical variable with more than 2 groups and a continuous outcome variable that will be tested. The two assumptions that need to be checked are for the groups to have equal variances and to have an approximate normal distribution in the outcome variable.

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