A comprehensive introductory text providing a clear treatment of the fundamental concepts and applications of probability and statistics. After a general overview of the subject, it considers special types of random variables using several examples which illustrate their wide variety of applications. The book also examines their calculation and presents computer programs that calculate the probability distribution and their inverse of binomial, poisson, normal, t, F and Chi-square distributions. Its coverage on sampling thoroughly reviews 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. Among the other topics discussed in this work are hypothesis testing; regression, both simple and linear; and problems related to life testing. Also included is a diskette of 35 programs for the IBM PC, giving exact answers or approximations where appropriate.
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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 California, Berkeley. He receivedhis Ph.D. in statistics at Stanford University in 1968 and has been at UC Berkeley ever since. He has published many technical articles and textbooks in the areas of statistics and applied probability. Professor Ross is the founding and contributing editor of the journal, Probability in the Engineering andInformational Sciences, published by Cambridge University Press. He is a fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist award.
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