Applied statistics for engineers and scientists

Abstract

Preface. 1. Introduction to Data Analysis. 2. Summarizing Data. 3. Designing Studies and Obtaining Data. 4. An Introduction to Statistical Modeling. 5. Estimation and Prediction. 6. Hypothesis Tests. 7. The Relationship Between Two Variables. 8. Multiple Regression. 9. The One-Way Model. 10. The Factorial Model. 11. Distribution-Free Inference. 12. 2k Designs. 13. 2k-p Designs and their Role in Quality Improvement. 14. Response-Surface Methodology. 15. Statistical Process Control. Appendix A: Tables. Answers to Odd-Numbered Exercises. Index.