The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs.

Key Features

- Provides the statistical design and analysis of engineering experiments & problems - Presents a student-friendly approach through providing statistical models for advanced learning techniques - Covers essential and useful statistical methods used by engineers and scientists


Undergraduates and Graduate students in engineering

Table of Contents

Introduction; Summarizing Data; Models for Experiment Outcomes; Models for the Random Error; Inference for a Single Population; Comparing Two Populations; One-Factor Multi-Sample Experiments; Experiments with Two Factors; Multi-Factor Experiments; Inference for Regression Models; Response Surface Methods; Appendices; References.


No. of pages:
© 2003
Academic Press
Print ISBN:
Electronic ISBN:

About the authors

Peter Nelson

Affiliations and Expertise

Professor of Mathematical Sciences, Clemson University, USA

Karen Copeland

Affiliations and Expertise

Statistical Consultant; Boulder, CO, USA

Marie Coffin

Affiliations and Expertise

Paradigm Genetics Inc., Cary, NC, USA