Designed to teach engineers to think statistically so that data can be collected and used intelligently in solving real problems. Although traditional topics are covered, this edition takes a modern, data-oriented, problem-solving, and process-improvement view of engineering statistics. The emphasis is on collecting good data through sample surveys and experiments and on applying it to real problems.
Table of Contents
1. Data and Decisions 2. From Data Tables to Disk to Discrete Probability 3. Discrete Probability Distributions 4. Continuous Probability Distributions 5. Multivariate Probability Distributions 6. Statistics, Sampling Distributions, and Control Charts 7. Properties of Point Estimates 8. Hypothesis Testing 9. Simple Regression 10. Multiple Regression Analysis 11. Design of Experiments and the Analysis of Variance 12. Nonparametric Statistics Appendix A. The Matrix Formulation of Multiple Regression / Appendix B. More on Probability and Modeling Fitting / Appendix C. Answers to Selected Exercises / Appendix D. Tables