Statistics (STAT 101) One-Way ANOVA, Assumptions, and Post-Hoc Tests Exam Review
University of Florida
Statistics (STAT 101) | Exam Review

Overview
A final-style review on one-way ANOVA, when to use it, assumption checks, and how to interpret post-hoc comparisons.

Key topics
•ANOVA hypotheses and F statistic meaning
•within vs between variability
•assumptions and diagnostics
•post-hoc tests and multiple comparisons

Suggested study tasks
•decide ANOVA vs t-tests for one scenario
•state H0 and HA in words and symbols
•interpret an F-test output in context
•explain when and why post-hoc tests are needed

Common pitfalls
•running many t-tests without controlling error
•interpreting significant F as ?all groups differ?
•ignoring equal variance/normality conditions
•confusing correlation/regression outputs with ANOVA