Using statistics in industry
Subtitle: quality improvement through total process control
By: Gordon Betteley ... [et al.].
Contributors: Betteley, Gordon.
Series: The manufacturing practitioner series
Publisher: Prentice Hall
Published: 1994
Place of publication: New York
Language: eng
Number of pages: 361
Subjects: Process control -- Statistical methods.; Quality control -- Statistical methods.
Description: For many years the need to bridge the gap between theoretical and practical technology has been recognised, but it is only recently that universities and industrial companies have collaborated successfully to relate learning to the ongoing practical needs of industry.

Using Statistics in Industry is an ideal workplace reference for anyone who needs to improve their understanding of the use of statistics in process control.

Using practical examples the authors explain and illustrate all the basic statistical techniques and, since much of the material is derived from courses jointly developed by Warwick University and household name industrial firms such as Rover Group, Rolls-Royce, British Airways and Lucas, the authors have ensured that content and coverage is proven to be relevant and presented in an easily accessible style.

Contents include data presentation, probability and probability distributions, estimation, significance testing, process control, and control charts.

Using Statistics in Industry provides an invaluable resource for production and technical support staff working in quality management, and section leaders and cell managers responsible for ensuring that processes are under control. It may be read as a whole or used as a reference as the need arises. No previous knowledge of statistics is assumed or required but references to further reading are included in every chapter.

Equally it can be used on first and second year Industrial Statistics and Quality Control courses and first year Applied Statistics courses.
Notes: Includes bibliographical references (p. 330-331) and index.