1. Experiments, Sample Spaces, and Events.

2. Probability.

3. Counting.

4. Conditional Probability; Independence.

5. Markov Chains*.

6. Random Variables: Univariate Case.

7. Random Variables: Multivariate Case.

8. Expectation.

9. Selected Families of Distributions.

10. Random Samples.

11. Introduction to Statistical Inference.

12. Estimation.

13. Testing Statistical Hypotheses.

14. Linear Models.

15. Rank Methods.

16. Analysis of Categorical Data.

Statistical Tables.

Bibliography.

Answers to Odd-Numbered Problems.

Index.