What are post hoc tests, and when are they used in ANOVA?
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Post hoc tests are statistical analyses performed after an ANOVA to determine which specific group means are significantly different from each other. They are used when the ANOVA shows significant differences, helping researchers identify where those differences lie among the groups compared.
Post hoc tests are statistical procedures used after ANOVA to identify which specific group means are significantly different from each other. They are applied when ANOVA indicates significant differences, helping to control for Type I error during pairwise comparisons. Common post hoc tests include Tukey's HSD, Bonferroni, and Scheffé tests.
Post hoc tests are statistical analyses conducted after a significant ANOVA result to determine which specific groups' means are different. They are used when the null hypothesis is rejected, indicating that at least one group differs from others, but ANOVA alone does not specify where those differences lie. Common post hoc tests include Tukey's HSD, Bonferroni, and Scheffé tests. They help control for Type I error rates when making multiple comparisons between group means.