Statistics for Quality Control is a basic level study of statistics
used in a production operations setting. It is primarily intended for
students entering quality control or other industrial and operations
careers. It covers introductory topics such as a brief background,
measurements, and graphing techniques. It then moves on to the beginning
statistics necessary to understand these practices commonly found in
industry and ends with coverage of quality assurance issues along with
some pertinent managerial practices associated with this topic.Daniel
Jackson is an Associate Professor of Architectural and Manufacturing
Sciences at Western Kentucky University. He has more than 30 years of
teaching and research experience in manufacturing operations and design,
quality assurance and control, six sigma, lean concepts, and graduate
courses. He works extensively with students by teaching, advising, and
directing their career interests. He has traveled throughout the world
teaching and conducting research. Preface. The Industrial Age. CH 1-
Numbers, Measurements & Scales. CH 2- Sampling & Organization of Data.
CH 3- Basic Statistics for Discrete Distributions. CH 4- Statistics for
Continuous Distributions. CH 5- Statistical Process Control for
Attributes. CH 6- Process Control for Variables. CH 7- Control Chart
Analysis. CH 8- Acceptance Sampling. CH 9- Inferential Applications. CH
10- Additional Uses of Statistics in Industry. CH 11- Quality
Management. Appendices.
