Introductory Statistics for Engineering Experimentation


  • Peter Nelson, Professor of Mathematical Sciences, Clemson University, USA
  • Karen Copeland, Statistical Consultant; Boulder, CO, USA
  • Marie Coffin, Paradigm Genetics Inc., Cary, NC, USA

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.
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Undergraduates and Graduate students in engineering


Book information

  • Published: August 2003
  • ISBN: 978-0-12-515423-9

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.