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Introduction: What Is Statistics? 1. Describing Data with Graphs. 2. Describing Data with Numerical Measures. 3. Describing Bivariate Data. 4. Probability and Probability Distributions. 5. Several Useful Discrete Distributions. 6. The Normal Probability Distribution. 7. Sampling Distributions. 8. Large-Sample Estimation. 9. Large-Sample Tests of Hypotheses. 10. Inference from Small Samples. 11. The Analysis of Variance. 12. Linear Regression and Correlation. 13. Multiple Regression Analysis. 14. Analysis of Categorical Data. 15. Nonparametric Statistics. Appendix I: Tables. Answers to Selected Exercises.