Probability and Statistics for Engineers and Scientists, 9th Edition

This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.

Table of Contents

Chapter 1 Introduction to Statistics and Data Analysis
Chapter 2 Probability
Chapter 3 Random Variables and Probability Distributions
Chapter 4 Mathematical Expectation
Chapter 5 Some Discrete Probability Distributions
Chapter 6 Some Continuous Probability Distributions
Chapter 7 Functions of Random Variables (Optional)
Chapter 8 Fundamental Sampling Distributions and Data Descriptions
Chapter 9 One- and Two-Sample Estimation Problems
Chapter 10 One- and Two-Sample Tests of Hypotheses
Chapter 11 Simple Linear Regression and Correlation
Chapter 12 Multiple Linear Regression and Certain Nonlinear Regression Models
Chapter 13 One-Factor Experiments: General
Chapter 14 Factorial Experiments (Two or More Factors)
Chapter 15 2k Factorial Experiments and Fractions
Chapter 16 Nonparametric Statistics
Chapter 17 Statistical Quality Control
Chapter 18 Bayesian Statistics

Appendix A: Statistical Tables and Proofs
Appendix B: Answers to Odd-Numbered Non-Review Exercises