This updated classic provides a superior introduction to applied probability and statistics for engineering or science majors. Author Sheldon Ross shows how probability yields insight into statistical problems, 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, and the enclosed CD-ROM includes software that automates the required computations. The Third Edition includes new exercises, examples, and applications, updated statistical material, and more. New in this edition: new exercises and data examples including: The One-sided Chebyshev Inequality for Data, The Logistics Distribution and Logistic Regression, Estimation and Testing in proofreader problems, Product Form Estimates of Life Distributions, and Observational Studies; updated statistical material; and new, contemporary applications. Hallmark features of this book are, it: reflects Sheldon Ross' masterfully clear exposition; contains numerous examples, exercises, and homework problems; is unique, easy-to-use software automates required computations; applies probability theory to everyday statistical problems and situations; careful development of probability, modeling, and statistical procedures leads to intuitive understanding. An Instructor's Solutions Manual is available to adopters.

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"As a textbook, it provides a solid foundation for probability and statistics with introduction to some useful applied topics." -Roger M. Sauter, Boeing Commercial Airplane Group, in TECHNOMETRICS, VOL. 47, 2005 "Ross's book is an excellent introduction to classical Probability Theory and Statistics. The explanations are absolutely clear, well chosen examples help students to understand the point of each section. Ross is a classical author of probability texts, most of his books became Bibles of instructors and students. This text is no exception... What it covers is absolutely elegant...I simply love it." - Gabor Szekely, Bowling Green State University "Throughout the book there are numerous homework problems at varying levels of difficulty. In my opinion they do an excellent job of testing the students' grasp of the material as well as being educational, in the...sense of preparing students for examinations. - Charles Dunkl, University of Virginia

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.

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