Statistics and Probability for Engineering Applications


  • William DeCoursey, William DeCoursey, Ph.D., is a chemical engineer who has taught statistics and probability to engineering students for over 15 years at the University of Saskatchewan., Chemical engineer who has taught statistics and probability to engineering students for over 15 years at the University of Saskatchewan.

More than ever, American industry— especially the semiconductor industry— is using statistical methods to improve its competitive edge in the world market. It is becoming more imperative that graduate engineers have solid statistical know-how, yet engineers in industry typically are not well-prepared to use statistics and they are fuzzy about how to apply statistical tools and techniques. This valuable reference makes statistical methods easier and more accessible to engineers.Although the book can be read sequentially, like a normal textbook, it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. It contains the following features:* Covers all major topics treated in a standard college engineering statistics course, but minimizes the mathematical derivations and focuses on practical applications * Uses real data sets/case studies taken from electronics, electrical engineering, and other engineering fields, such as mechanical and chemical engineering* Contains numerous software examples using the powerful statistical functions of ExcelIn addition, the book provides an "engineering problem solver" section that directs the reader to the relevant section of the book for the problem they are trying to solve. The accompanying CD-ROM contains the Excel data sets for the examples and case studies given in the book, along with other statistical tools and software.
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Engineers in the entire engineering spectrum: electronics/electrical, mechanical, chemical, and civil engineering; Engineering students; Scientists needing to use applied statistical methods; Engineering technicians and technologists U.S. Dept. of Labor recent stats:Electrical and electronics engineers: 310,000Computer hardware engineers: 60,000Electrical and electronics engineering technicians: 262,000Computer applied software engineers: 380,000IEEE US membership is 240,000, including studentsApprox. 25,000 electrical/electronics engineers graduate in U.S. each year, and 15,000 computer science/computer engineering graduates source: Prentice-HallU.S. imports approx. 100,000 foreign engineers each year American Society of Mechanical Engineers - 125,000 membersAmerican Institute of Chemical Engineers - 50,000 membersAmerican Society of Civil Engineers - 125,000 members


Book information

  • Published: April 2003
  • Imprint: NEWNES
  • ISBN: 978-0-7506-7618-2


This introductory textbook on statistics and probability is aimed at two groups: practicing engineers in industries and engineering students at about the freshman/sophomore level. The material is explained in a very easy-to-understand manner with numerous worked-out examples. Many of the examples presented have an engineering flavor, which will appeal to the intended audience...An important feature of the book is its use of Microsoft Excel to do many statistical computations. The textbook is also accompanied by a CD-ROM containing all of the datasets used in the book and a fully searchable e-book version of the text in Adobe pdf format...Overall this is a good textbook. - Technometrics, August 2004

Table of Contents

Introduction: Statistics and Probability for Engineers; Basic Probability and Its Engineering Applications; Descriptive Statistics: Summary Numbers; Grouped Frequencies and Graphical Descriptions; Probability Distributions of Discrete Variables; Probability Distributions of Continuous Variables; The Normal Distribution; Sampling and Combination of Variables; Statistical Inferences for the Mean; Statistical Inferences for Variance and Proportion; Design of Experiments; Analysis of Variance; Chi-squared Test for Frequency Distributions; Regression and Correlation; Engineering Problem Solver; Sources of Further Information; Appendices