Multiple Comparisons › What's Next
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This chapter has covered the multiple comparisons problem and methods for controlling error rates when conducting many tests. You've learned the distinction between FWER and FDR, implemented correction methods from Bonferroni to Benjamini-Hochberg, and explored post-hoc tests for ANOVA.
In the final chapter of this series, we'll bring together all the concepts from hypothesis testing into a practical guide. You'll find reference tables, decision frameworks, reporting guidelines, and a complete workflow for conducting hypothesis tests in practice: everything you need to apply these concepts to real data analysis.