Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student.
This book can be read sequentially like a normal textbook, but 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. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems.
This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists.
Filled with practical techniques directly applicable on the job
Contains hundreds of solved problems and case studies, using real data sets
Avoids unnecessary theory
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: 310,000 Computer hardware engineers: 60,000 Electrical and electronics engineering technicians: 262,000 Computer applied software engineers: 380,000
IEEE US membership is 240,000, including students
Approx. 25,000 electrical/electronics engineers graduate in U.S. each year, and 15,000 computer science/computer engineering graduates source: Prentice-Hall
U.S. imports approx. 100,000 foreign engineers each year
American Society of Mechanical Engineers - 125,000 members American Institute of Chemical Engineers - 50,000 members American Society of Civil Engineers - 125,000 members
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
- No. of pages:
- © Newnes 2003
- 14th April 2003
- eBook ISBN:
- Hardcover ISBN:
Chemical engineer who has taught statistics and probability to engineering students for over 15 years at the University of Saskatchewan.
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