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.
"synopsis" may belong to another edition of this title.
This book takes its lead from industrial needs, and sets out practical techniques to answer these needs. The basic statistics necessary for applying and understanding statistical methods in industry are covered, and special emphasis is placed on the understanding of elementary mathematical techniques. The book assumes no previous knowledge of statistics. Diagrams are widely used, and there are many examples involving real data, with additional problems for the reader to solve. This text has been written specifically for industrial personnel operating in SPC or TQM environments.
"About this title" may belong to another edition of this title.
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