Probability and Statistics
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Student Edition
Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences, 4/e

J. Susan Milton, Radford University - Emeritus
Jesse Arnold, Virginia Polytechnic Institute & State University

ISBN: 007246836x
Copyright year: 2003

Supplements



Text-specific resources:


Student’s Solution Manual contains detailed solutions to the odd-numbered problems appearing in the text.
ISBN 0-07-246838-6

Instructor Solutions Manual contains detailed solutions to all even numbered problems appearing in the text. A data disk is also packaged with the Instructor Solutions Manual that contains all data sets that appear in exercises or examples. Instructors should feel free to duplicate the data disk for their students. These data sets are also available on this website and can be easily imported into your favorite statistical analysis software.
ISBN 0-07-246837-8

Other resources:


Schaum’s Outline of Probability and Statistics - Its big-picture, calculus-based approach makes it an especially authoritative reference for engineering and science majors. Now thoroughly updated, this second edition includes vital new coverage of order statistics, best critical regions, likelihood ratio tests, and other key topics.
ISBN 0-07-135004-7.

Pocket Dictionary of Statistics - A single, thorough source of definitions for thousands of statistical terms, illustrated with graphs, charts, tables, and equations. The Pocket Dictionary includes terms used in various fields related to statistics including mathematics, probability, economics, business, decision analysis, demography, epidemiology, bio-statistics, engineering, public health, quality control and many others.
ISBN 0-07-251693-3.

Schaum’s Outline of Introduction to Probablility and Statistics - Master beginning probability and statistics with this simple-to-use guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams!
ISBN 0-07-038084-8.
Milton - Arnold: Introduction To Probability and Statistics



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