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Introduction to Probability and Statistics by J.S. Milton, Jesse C. Arnold (2002, Hardcover, Subsequent Edition) 
Introduction to Probability and Statistics by J.S. Milton, Jesse C. Arnold (2002, Hardcover, Subsequent Edition)

 
Introduction to Probability and Statistics by J.S. Milton, Jesse C. Arnold (2002, Hardcover, Subsequent Edition)

Author: J.S. Milton, Jesse C. Arnold
Publisher: McGraw-Hill Science Engineering
Publication Date: 2002-09-01
Language: English
Format: Hardcover
ISBN-10: 007246836X
ISBN-13: 9780072468366
Product ID: EPID2242850
Description: This book offers a balanced presentation of applications and theory, developing the theoretical foundations for the statistical methods at a level accessible to readers with only a calculus background. It explores the practical implicati...
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Synopsis
This book offers a balanced presentation of applications and theory, developing the theoretical foundations for the statistical methods at a level accessible to readers with only a calculus background. It explores the practical implications of the formal results to problem solving so readers can understand the logic behind the techniques and practice using them. The new edition offers expanded coverage of quality control, as well as updated applications which include material that shows how statistics and probability are used to solve engineering-related problems.

Details
Publication Date:2002-09-01
Edition Description:Subsequent

Size
Length:798 pages
Height:9.8 in
Width:6.5 in
Thickness:1.5 in
Weight:42.4 oz

Publisher's Note
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.

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