1. Introduction.

2. Populations and Samples.

3. Measures of Central Tendency.

4. Measures of Dispersion and Variability.

5. Probabilities.

6. The Normal Distribution.

7. One-Sample Hypotheses.

8. Two-Sample Hypotheses.

9. Paired-Sample Hypotheses.

10. Multisample Hypotheses: The Analysis of Variance.

11. Multiple Comparisons.

12. Two-Factor Analysis of Variance

13. Data Transformations.

14. Multiway Factorial Analysis of Variance.

15. Nested (Hierarchical) Analysis of Variance.

16. Multivariate Analysis of Variance.

17. Simple Linear Regression.

18. Comparing Simple Linear Regression Equations.

19. Simple Linear Correlation.

20. Multiple Regression and Correlation.

21. Polynomial Regression.

22. Testing for Goodness of Fit.

23. Contingency Tables.

24. More on Dichotomous Variables.

25. Testing for Randomness.

26. Circular Distributions: Descriptive Statistics.

27. Circular Distributions: Hypothesis Testing.

Appendix A: Analysis of Variance Hypothesis Testing.

Appendix B: Statistical Tables and Graphs.

Answers to Exercises.

Literature Cited.

Index.

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