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Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (Int'l Ed) (Paperback, 4th edition)

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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Product Description

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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Product Details

General

Imprint

McGraw-Hill Higher Education

Country of origin

United States

Release date

November 2002

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2003

Authors

,

Dimensions

229 x 152 x 32mm (L x W x T)

Format

Paperback

Pages

832

Edition

4th edition

ISBN-13

978-0-07-119859-2

Barcode

9780071198592

Categories

LSN

0-07-119859-8

Books In Stock

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