This undergraduate statistical quality assurance textbook clearly shows with real projects
cases and data sets how statistical quality control tools are used in practice. Among the
topics covered is a practical evaluation of measurement effectiveness for both continuous and
discrete data. Gauge Reproducibility and Repeatability methodology (including confidence
intervals for Repeatability Reproducibility and the Gauge Capability Ratio) is thoroughly
developed. Process capability indices and corresponding confidence intervals are also
explained. In addition to process monitoring techniques experimental design and analysis for
process improvement are carefully presented. Factorial and Fractional Factorial arrangements of
treatments and Response Surface methods are covered. Integrated throughout the book are rich
sets of examples and problems that help readers gain a better understanding of where and how to
apply statistical quality control tools. These large and realistic problem sets in combination
with the streamlined approach of the text and extensive supporting material facilitate reader
understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation
(in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and
revised-end-of-chapter exercises Two full sets of slides one with audio to assist student
preparation outside-of-class and another appropriate for professors' lectures Substantial
supporting material Supporting Material Seven R programs that support variables and attributes
control chart construction and analyses Gauge R&R methods analyses of Fractional Factorial
studies Propagation of Error analyses and Response Surface analyses Documentation for the R
programs Excel data files associated with the end-of-chapter problem sets most from real
engineering settings
