Yang (industrial and manufacturing engineering, Wayne State University)and Trewn (research faculty, Beaumont Hospital) explain analytical tools for trouble-shooting, root cause analysis, process control, quality improvement, and other applications in business and industry. Writing for quality professionals, they discuss the theory and background of each method and give examples illustrating how these multivariate statistical methods can be used to solve real world problems, then show how to integrate multivariate statistical methods in quality assurance practice and Six Sigma projects. Readers should have some background in univariate statistical concepts and simple data analysis techniques, as well as in matrix algebra. Sci-Tech Book News 20040601