1. Introduction.
2. Descriptive Statistics.
3. Probability.
4. Discrete Random Variables.
5. Continuous Random Variables.
6. Bivariate Probability Distributions.
7. Sampling Distributions.
8. Estimation.
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.
Index.
