# Introduction to Probability and Statistics for Engineers and Scientists

Academic Press, Mar 13, 2009 - Mathematics - 680 pages
This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.

As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications
apply probability theory to everyday statistical problems and situations.

New to the 4th Edition:
- New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests
- 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
- New Real data examples that use significant real data from actual studies across life science, engineering, computing and business
- New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material

### What people are saying -Write a review

User Review - Flag as inappropriate

Very satisfied with this book. Clear explanation and tough questions. but there is a little problem in accuracy of some exercises.

### Contents

 Chapter 1 Introduction to Statistics 1 Chapter 2 Descriptive Statistics 9 Chapter 3 Elements of Probability 55 Chapter 4 Random Variables and Expectation 89 Chapter 5 Special Random Variables 141 Chapter 6 Distributions of Sampling Statistics 203 Chapter 7 Parameter Estimation 231 Chapter 8 Hypothesis Testing 293
 Chapter 10 Analysis of Variance 441 Chapter 11 Goodness of Fit Tests and Categorical Data Analysis 485 Chapter 12 Nonparametric Hypothesis Tests 517 Chapter 13 Quality Control 547 Chapter 14 Life Testing 583 Chapter 15 Simulation Bootstrap Statistical Methods and Permutation Tests 613 Appendix of Tables 641 Index 647

 Chapter 9 Regression 353

### About the author (2009)

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.