Loose Leaf for Principles of Statistics for Engineers & Scientists (Loose Leaf)

William Cyrus Navidi

ISBN 10: 1260442179 / ISBN 13: 9781260442175

Published by McGraw-Hill Education, OH, 2020

About this Item

Loose Leaf. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781260442175

Bibliographic Details

• Title: Loose Leaf for Principles of Statistics for Engineers & Scientists (Loose Leaf)
• Publisher: McGraw-Hill Education, OH
• Publication Date: 2020
• Language: English
• ISBN 10: 1260442179
• ISBN 13: 9781260442175
• Binding: Loose Leaf
• Edition: 2nd Edition
• Condition: new

About this title

Synopsis

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.

About the Author

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.