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).
Business-Money, Management-Leadership, Quality-Control-Management, Quality-Control,