ISE Principles of Statistics for Engineers and Scientists

Author:   William Navidi
Publisher:   McGraw-Hill Education
Edition:   2nd edition
ISBN:  

9781260570731


Pages:   626
Publication Date:   23 March 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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ISE Principles of Statistics for Engineers and Scientists


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Overview

Available for the first time in McGraw-Hill's Connect! Principles of Statistics for Engineers and Scientists emphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many examples that feature real, contemporary data sets, both to motivate students and to show connections to industry and scientific research. Because statistical analyses are done on computers, the book contains exercises and examples that involve interpreting, as well as generating, computer output. This book may be used effectively with any software package.

Full Product Details

Author:   William Navidi
Publisher:   McGraw-Hill Education
Imprint:   McGraw-Hill Education
Edition:   2nd edition
Dimensions:   Width: 18.50cm , Height: 2.30cm , Length: 23.10cm
Weight:   0.789kg
ISBN:  

9781260570731


ISBN 10:   1260570738
Pages:   626
Publication Date:   23 March 2020
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Author Information

William Navidi received a B.A. in mathematics from New College, an M.A in mathematics from Michigan State University, and a Ph.D. in statistics from the University of California at Berkeley. Dr. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado. He began his teaching career at the County College of Morris in Dover, New Jersey. He has taught mathematics and statistics at all levels, from developmental through the graduate level. Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and 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.

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