Elementary Statistics Tables

This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is thus not just a reference book but a positive and user-friendly teaching and learning aid. The new edition contains a new and comprehensive "teach-yourself" section on a simple but powerful approach, now well-known in parts of industry but less so in academia, to analysing and interpreting process data. This is a particularly valuable enabler to personnel who are not qualified in traditional statistical methods to actively contribute to quality-improvement projects. The second edition also includes a much-improved glossary of symbols and notation.

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.

1. The Standard Discrete Distributions 2. The Standard Continuous Distributions 3. Goodness-of-Fit Tests 4. Nonparametric Tests 5. Correlation 6. Useful Odds and Ends 7 . Preface to Second Edition 8. Control Charts, Process Behaviour Charts and Process Improvement