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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.
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Book Description:
The new edition of Ross's bestseller for engineers and scientists, featuring famously clear exposition and examples
From the Back Cover:
The Second Edition of Introduction to Probability and Statistics for Engineers and Scientists emphasizes the manner in which probability yields insight into statistical problems. The book augments key statistical results in an intuitive understanding of statistical procedures most often used by practicing engineers and scientists.
Early coverage of descriptive statistics immerses the reader in the data approach. Real data sets are incorporated in a wide variety of exercises and examples throughout the text. The emphasis on data motivates the probability coverage. Coverage of Quality Control is also expanded in this edition.
As in the previous edition, carefully developed coverage of probability motivates probabilistic models of real phenomena and the statistical procedures that follow.
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 has published numerous textbooks and technical articles in the areas of statistics and applied probability. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, published by Cambridge University Press. He is a fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt U.S. Senior Scientist award.
Early coverage of descriptive statistics immerses the reader in the data approach. Real data sets are incorporated in a wide variety of exercises and examples throughout the text. The emphasis on data motivates the probability coverage. Coverage of Quality Control is also expanded in this edition.
As in the previous edition, carefully developed coverage of probability motivates probabilistic models of real phenomena and the statistical procedures that follow.
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 has published numerous textbooks and technical articles in the areas of statistics and applied probability. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, published by Cambridge University Press. He is a fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt U.S. Senior Scientist award.
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- PublisherWiley
- Publication date1987
- ISBN 10 047181752X
- ISBN 13 9780471817529
- BindingHardcover
- Edition number1
- Number of pages512
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