# Statistics and Probability for Engineering Applications

**By**

- 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.

### Audience

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

### Reviews

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