Includes bibliographical references and index.

1. Science and statistics -- Part I: Comparing two treatments -- 2. Use of external reference distribution to compare two means -- 3. Random sampling and the Declaration of Independence -- 4. Randomization and blocking with paired comparisons -- 5. Significance tests and confidence intervals for means, variances, proportions, and frequencies -- Part II: Comparing more than two treatments -- 6. Experiments to compare k treatment means -- 7. Randomized blocks and two-way factorial designs -- 8. Design with more than one blocking variables -- Part III: Measuring the effects of variables -- 9. Empirical modeling -- 10. Factorial designs at two levels -- 11. More applications of factorial designs -- 12. Fractional factorial designs at two levels -- 13. More applications of fractional factorial designs -- Part IV: Building models and using them -- 14. Simple modeling with least squares (regression analysis -- 15. Response surface methods -- 16. Mechanistic model building -- 17. Study of variation -- 18. Modeling dependence: time series. Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for "statistical thinking" by using examples drawn from actual case studies.