Includes bibliographical references and index.

1. What is statistics? -- Pt. 1. Descriptive measures and probability: -- 2. Graphical and tabular descriptive methods -- 3. Art and science of graphical presentations -- 4. Numerical descriptive measures -- 5. Probability -- 6. Data collection and sampling -- 7. Random variables and discrete probability distributions -- 8. Continuous probability distributions -- Pt. 2. Statistical inference: -- 9. Statistical inference: Introduction -- 10. Sampling distributions -- 11. Estimation: Describing a single population -- 12. Estimation: Comparing two populations -- 13. Hypothesis testing: Describing a single population -- 14. Hypothesis testing: Comparing two populations -- 15. Inference about population variances -- 16. Comparing two populations: Nonparametric statistics -- 17. Statistical Inference: A review of chapters 11-16 -- 18. Analysis of Variance -- 19. Nonparametric techniques: Comparing two or more populations -- 20. Additional tests for nominal data: Chi-squared tests -- 21. Simple linear regression and correlation -- 22. Multiple regression -- 23. Model building -- 24. Statistical inference: Conclusion -- Pt. 3. Applications: -- 25. Time-series analysis and forecasting -- 26. Index numbers -- 27. Decision analysis: Online chapter -- Appendix A. Summary Solutions for Selected Exercises -- Appendix B. Solutions to Self-correcting exercises -- Appendix C. Tables.

Emphasises applications over theory. It illustrates the importance of statistical methods and tools for today's managers and analysts, and how to apply them to business problems using real-world data.