This book illustrates basic statistical concepts with extensive applications in engineering and scientific contexts. The book includes optional theoretical exercises, allowing readers who choose to emphasize theory to do so with requiring additional materials. The fourth edition contains SAS and MINITAB computer printout results for all analyses performedplus new exercises based on magazine and journal articles and news reports. A section on "Detecting Normal Distributions" (Chapter 5) gives readers insights on when it is reasonable to assume that underlying data is normally distributed. There is a comprehensive example on model building (Chapter 13) and emphasis on the regression approach to a Nova (also presents the traditional approach). There are two sections discussing principles of experimental design, i.e., noise-reducing and volume-increasing design, a section on "Total Quality Management" and coverage of statistical computing. There are optional, calculus-based theoretical exercises, and real data sets, extracted from scientific studies, are provided in an appendix. Numerical answers to all applied exercises are included in an appendixgiving readers immediate feedback on their work.
|Edition description:||Older Edition|
|Product dimensions:||6.00(w) x 1.25(h) x 9.00(d)|
Table of Contents1. Introduction.
2. Descriptive Statistics.
4. Discrete Random Variables.
5. Continuous Random Variables.
6. Bivariate Probability Distributions.
7. Sampling Distributions.
9. Tests of Hypothesis.
10. Categorical Data.
11. Simple Linear Regression Analysis.
12. Multiple Regression Analysis.
13. Model Building.
14. Analysis of Variants for designed experiments.
15. Nonparametric Statistics.
16. Statistical Process and Quality Control.
17. Product and System Reliability.
Appendix I. Matrix Algebra.
Appendix II. Useful Statistical Tables.
Appendix III. DDT Analysis on Fish Samples, Tennessee River, Alabama.
Appendix IV. Central Processing Unit(CPU) Times of 1,000 Computer Jobs.
Appendix V. Percentage Iron Content for 390 Iron Ore Specimens.
Appendix VI. ASP Tutorial.
Answers to Selected Exercises.