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The organization of data 2. Describing distributions 3. Describing individuals in distributions 4. Describing joint distributions of data 5. Introduction to probability 6. Discrete probability distributions 7. Continuous probability distributions 8. Sampling distributions and estimation 9. Hypothesis testing 10. Testing hypotheses about population means 11. Testing hypotheses about population variances 12. Testing hypotheses about several population means mu1, mu2,..., muj: analysis of variance 13. More complex analysis of variance 14. Testing hypotheses about correlation and regression 15. Testing hypotheses about entire distributions: Pearson's chi-square.
Wates et al. (Mon,) studied this question.