Statistical Methods for Quality: With Applications to Engineering and Management

This text provides a comprehensive exploration of the statistical methods required for modern approaches to quality as it is practiced in the U.S., Japan, etc. It is appropriate for use by statistics professors as well as by engineering or management professors who are not necessarilystatisticians.* provides a brief overview of the modern field of quality, and places statistical methods in the context of quality. introduces descriptive statistics and some of the most widely-used probability distributions in statistical applications. explains the central ideas of statistical inference. presents the statistical tools most widely applied to quality - Regression Analysis, Design of Experiments, Statistical Process Control (SPC), and Reliability. concludes most chapters with an "Application to Quality" section that applies chapter content to one or more of todays major quality improvement problems. emphasizes computer applications throughout. contains ample exercise and review exercise materials (with selected answers).

Table of Contents:
*Introduction *Quality *Data Analysis *Probability Distributions *The Normal Distribution *Drawing Inferences from Samples *Regression Analysis *Design of Experiments *Statistical Process Control *Reliability

Review :
"The writing is the best I have seen in a textbook. One of the goals in my courses is to teach students how to write effectively, concisely, and forcefully. The authors' writing is simple, to the point, and utterly engaging. It is the way I want my students to write." — Larissa J. Taylor, Colby College "This text will serve me well. It is written clearly and compactly and does an admirable job of addressing some issues, such as race and feminist concerns, that are typically added onto other texts." — Sean Moran, Oakland University "What makes this text readable is the extent to which interpretive issues are interwoven with facts. Textbooks that are hard to read cram a lot of information into a condensed space without helping students think about what they are learning. This book avoids that problem and is a good match for my students." — Laurel Carrington, St. Olaf College "The Larger Issues are perhaps the most interesting way of beginning a text that I have ever seen." — James Halverson, Judson College