Principles of Statistics for Engineers and Scientists

Author:   William Navidi
Publisher:   McGraw-Hill Education - Europe
ISBN:  

9780077289317


Pages:   608
Publication Date:   16 February 2009
Format:   Hardback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Our Price $475.20 Quantity:  
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Principles of Statistics for Engineers and Scientists


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Overview

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 focuses on applications. The text features a unique approach accentuated by an engaging writing style that explains difficult concepts clearly. By presenting ideas in the context of real-world data featured in plentiful examples, the book motivates students to understand fundamental concepts through practical examples found in industry and research.

Full Product Details

Author:   William Navidi
Publisher:   McGraw-Hill Education - Europe
Imprint:   McGraw Hill Higher Education
Dimensions:   Width: 19.80cm , Height: 2.80cm , Length: 23.90cm
Weight:   1.043kg
ISBN:  

9780077289317


ISBN 10:   0077289315
Pages:   608
Publication Date:   16 February 2009
Audience:   General/trade ,  General
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

1 Sampling and Descriptive Statistics 2 Summarizing Bivariate Data 3 Probability 4 Commonly Used Distributions 5 Point and Interval Estimation for a Single Sample 6 Hypothesis Tests for a Single Sample 7 Inferences for Two Samples 8 Inference in Linear Models 9 Factorial Experiments 10 Statistical Quality Control

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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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