Statistics for Quality Control (Paperback)


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.

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Product Description

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.

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Product Details

General

Imprint

Industrial Press Inc.,U.S.

Country of origin

United States

Release date

May 2015

Availability

Expected to ship within 10 - 15 working days

Authors

Dimensions

229 x 152 x 15mm (L x W x T)

Format

Paperback - Trade

Pages

350

ISBN-13

978-0-8311-3517-1

Barcode

9780831135171

Categories

LSN

0-8311-3517-4



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