Statistics Tables

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advanced statistical reference
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Baseline Lengths
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Control Charts
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Duncan's Multiple Range Test
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experimental data analysis
hypothesis testing methods
Inverse Normal Function
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Multi-sample Tests
Multiple Correlation Coefficient
nonparametric statistics
Normal Order Statistics
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probability distributions
Process Behaviour Charts
process monitoring techniques
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quality improvement tools
Single Sampling Plans
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Superb
Tolerance Intervals
Wilcoxon's Signed Rank Test

Product details

  • ISBN 9780415563451
  • Weight: 160g
  • Dimensions: 156 x 234mm
  • Publication Date: 04 Aug 2011
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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For three decades, Henry Neave’s Statistics Tables has been the gold standard for all students taking an introductory statistical methods course as part of their wider degree in a host of disciplines including mathematics, economics, business and management, geography and psychology. The period has seen a large increase in the level of mathematics and statistics required to achieve these qualifications and Statistics Tables has helped several generations of students meet their goals.

All the features of the first edition are retained including the full range of best-known standard statistical techniques, as well as some lesser-known methods that can be hard to track down elsewhere. The explanatory introductions to each section have been updated and the second edition benefits from the inclusion of a valuable and comprehensive new section on an approach to simple but powerful investigation of process data. This will help the book continue in its position as the prime statistical reference for all students of mathematics, engineering and the social sciences, and everyone who needs effective methods for analysing data.

Henry R. Neave spent the first half of his career as lecturer in the Mathematics Department of the University of Nottingham. During part of this time he also held positions of Assistant Visiting Professor at the University of Wisconsin and Research Fellow at McGill University, and became a statistical quality advisor to companies in Britain and elsewhere in Europe. During the second half of his career he became increasingly involved with statistical contributions to the field of quality improvement. In 2001 his work in this area was recognised both in Britain by being confirmed as a Companion of the Institute of Quality Assurance (now the Chartered Quality Institute) and in America by the award of the American Society for Quality's Deming Medal. Prior to his retirement in 2004 he held the position of W Edwards Deming Professor of Leadership and Management at the Nottingham Trent University.

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