Principles of Statistics for Engineers and Scientists
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Language: English
Published by McGraw-Hill Europe (edition ), 2009
- Softcover
- Used

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Softcover
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Item description from seller
It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. International edition.
Seller Inventory # 0070166978-11-1-7
- Title
- Principles of Statistics for Engineers and Scientists
- Author
- William Navidi
- Publisher
- McGraw-Hill Europe (edition )
- Publication year
- 2009
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0070166978
- ISBN 13
- 9780070166974
- Edition
- International Edition
"Principles of Statistics for Engineers and Scientists" offers the same crystal clear presentation of applied statistics as Bill Navidi's "Statistics for Engineers and Scientists" text, in a manner especially designed for the needs of a one-semester course that is focused on applications. By presenting ideas in the context of real-world data sets and with plentiful examples of computer output, the book is great for motivating students to understand the importance of statistics in their careers and their lives. The text features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly and the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.
"Synopsis" may belong to another edition of this title.
About the Author
William Navidi is Professor of Mathematical and Computer Sciences at the Colorado School of Mines. He received the B.A. degree in mathematics from New College, the M.A. in mathematics from Michigan State University, and the Ph.D. in statistics from the University of California at Berkeley. Professor Navidi has authored more than 50 research papers both in statistical theory and in a wide variety of applications including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.
"About the title" may belong to another edition of this title.
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