Introduction to Probability and Statistics for Engineers and Scientists (2nd Edn)

Suited for a first course in applied probability and statistics for engineering or science majors, this is a superior textbook. Introduction to Probability and Statistics for Engineers and Scientists, Second Edition, includes expanded coverage of quality control, and offers unique software that automates the computations required for exercises, as well as illustrating the main concepts of probability. The author 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.

* Very clear presentation of concepts
* Clear presentation of probability
* Contains many data sets
* Presents mathematics that is both precise and easily understood
* Includes an introductory chapter on descriptive statistics
* Includes a computer disk that can be used to determine p-values and to illustrate concepts such as the central limit theorem
New to the Second Edition:
* Real-data examples and exercises throughout the text
* Expanded coverage of Quality Control material
* Unique software to automate the computations required for the exercises

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.