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The test statistic for a One-Way ANOVA is denoted as F. Balanced designs (i.e., same number of subjects in each group) are ideal extremely unbalanced designs increase the possibility that violating any of the requirements/assumptions will threaten the validity of the ANOVA F test.Each group should have at least 6 subjects (ideally more inferences for the population will be more tenuous with too few subjects).Researchers often follow several rules of thumb for one-way ANOVA: Note: When the normality, homogeneity of variances, or outliers assumptions for One-Way ANOVA are not met, you may want to run the nonparametric Kruskal-Wallis test instead.
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When variances are unequal, post hoc tests that do not assume equal variances should be used (e.g., Dunnett’s C).