Statistical Method from the Viewpoint of Quality ControlThe application of statistical methods in mass production make possible the most efficient use of raw materials and manufacturing processes, economical production, and the highest standards of quality for manufactured goods. In this classic volume, based on a series of ground-breaking lectures given to the Graduate School of the Department of Agriculture in 1938, Dr. Shewhart illuminated the fundamental principles and techniques basic to the efficient use of statistical method in attaining statistical control, establishing tolerance limits, presenting data, and specifying accuracy and precision. In the first chapter, devoted to statistical control, the author broadly defines the three steps in quality control: specification, production, and inspection; then outlines the historical background of quality control. This is followed by a rigorous discussion of the physical and mathematical states of statistical control, statistical control as an operation, the significance of statistical control and the future of statistics in mass production. Chapter II offers a thought-provoking treatment of the problem of establishing limits of variability, including the meaning of tolerance limits, establishing tolerance limits in the simplest cases and in practical cases, and standard methods of measuring. Chapter III explores the presentation of measurements of physical properties and constants. Among the topics considered are measurements presented as original data, characteristics of original data, summarizing original data (both by symmetric functions and by Tchebycheff's theorem), measurement presented as meaningful predictions, and measurement presented as knowledge. Finally, Dr. Shewhart deals with the problem of specifying accuracy and precision — the meaning of accuracy and precision, operational meaning, verifiable procedures, minimum quantity of evidence needed for forming a judgment and more. Now available for the first time in this inexpensive paperbound format, this highly respected study will be welcomed by mathematics students, engineers, researchers in industry and agriculture — anyone in need of a lucid, well-written explanation of how to regulate variable and maintain control over statistics in order to achieve quality control over manufactured products, crops, and data. |
Contents
CHAPTER ISTATISTICAL CONTROL | 1 |
THE STATE OF STATISTICAL CONTROL The physical state of statistical | 19 |
STATISTICAL CONTROL AS AN OPERATION The operation of statistical | 25 |
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accuracy and precision accuracy or precision applied ART NOUVEAU assignable causes attain average basis bowl universe C. I. Lewis causes of variability chapter control chart control of quality criteria criterion of control distribution theory economic engineer estimate evidence example expected value experience experimental finite full color fundamental given Hence illustrations important indefinitely large number infinite sequence involved judgment knowledge let us consider mass production materials mathematical ment method of measurement normal bowl operation of control operation of measurement operation of statistical operational meaning operationally verifiable original data percent physical constants physical operation piece of product practically verifiable presence of assignable present problem quality characteristic random operation requirement samples of four scientific scientist sense setting tolerance limits Shewhart specification standard deviation statement statistical control statistical theory statistician symbol symmetric functions techniques tensile strength tion tolerance range true value velocity of light verifiable meaning viewpoint