Statistics for Engineers and Scientists

Author:   NAVIDI
Publisher:   McGraw-Hill Education - Europe
Edition:   3rd edition
ISBN:  

9780073376332


Pages:   928
Publication Date:   16 April 2010
Replaced By:   0073401331
Format:   Hardback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Statistics for Engineers and Scientists


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Overview

Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with 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.

Full Product Details

Author:   NAVIDI
Publisher:   McGraw-Hill Education - Europe
Imprint:   McGraw-Hill Professional
Edition:   3rd edition
Dimensions:   Width: 19.30cm , Height: 4.10cm , Length: 23.90cm
Weight:   1.490kg
ISBN:  

9780073376332


ISBN 10:   0073376337
Pages:   928
Publication Date:   16 April 2010
Audience:   College/higher education ,  Undergraduate
Replaced By:   0073401331
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

Chapter 1: Sampling and Descriptive StatisticsChapter 2: ProbabilityChapter 3: Propagation of ErrorChapter 4: Commonly Used DistributionsChapter 5: Confidence IntervalsChapter 6: Hypothesis TestingChapter 7: Correlation and Simple Linear RegressionChapter 8: Multiple RegressionChapter 9: Factorial ExperimentsChapter 10: Statistical Quality ControlA TablesB Partial DerivativesC Suggestions for Further Reading Answers to Selected Exercises

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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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