Introduction to Probability and Statistics for Engineers and Scientists

by Sheldon M. Ross

Reviews fundamental concepts and applications of probability and statistics. After a general overview, it considers special types of random variables, using examples which illustrate their wide variety of applications. Also examines their calculation and presents computer programs that calculate the probability distribution, and the inverses of binomial, poisson, normal, t, F, and Chi-square distributions. Coverage includes such topics as the sample mean, sample variance, sample median, as well as histograms, empirical distribution functions, and stem-and-leaf plots. A program for computing sample mean and sample variance for a given data set is included. A diskette of 35 programs for the IBM PC is available, giving exact answers or approximations where appropriate.

Genres: Science, Reference, Mathematics, Textbooks

512 pages, Hardcover

First published June 30, 1987

About the author

Sheldon M. Ross is the Epstein Chair Professor at the Department of Industrial and Systems Engineering, University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968 and was formerly a Professor at the University of California, Berkeley, from 1976 until 2004. He has published more than 100 articles and a variety of textbooks in the areas of statistics and applied probability, including Topics in Finite and Discrete Mathematics (2000), Introduction to Probability and Statistics for Engineers and Scientists, 4th edition (2009), A First Course in Probability, 8th edition (2009), and Introduction to Probability Models, 10th edition (2009), among others. Dr Ross serves as the editor for Probability in the Engineering and Informational Sciences.