# A dictionary of statistics

Oxford University Press, Aug 30, 2008 - Business & Economics - 453 pages
This wide-ranging, 100% jargon-free dictionary contains over 2,000 entries on all aspects of statistics, including terms used in computing, mathematics, and probability, as well as biographical information on over 200 key figures in the field, and coverage of statistical journals and societies. Embracing the whole multi-disciplinary spectrum of this complex subject, this superb reference presents information in a clear and practical manner and will prove invaluable for students and professionals from a wide range of disciplines, including economics, politics, market research, medicine, psychology, pharmaceuticals, and mathematics. This revised edition displays recommended web links for many entries, accessible via the Dictionary of Statistics website, which will be regularly updated to ensure the links are fully current, as well as provide helpful additional information. The entries are generously illustrated with useful figures and diagrams, and include worked examples where applicable. Appendices include a historical calendar of important statistical events, lists of statistical and mathematical notation, and statistical tables. Fully updated and revised, The Dictionary of Statistics is an indispensable work of reference for students and professionals in fields related to statistics, and a clear introduction to the subject for the general reader.
Graham Upton is Professor of Applied Statistics in the Department of Mathematical Sciences at the University of Essex. His more than 100 publications include seven books, four co-authored with Ian Cook and published by OUP: Understanding Statistics (1996), Introducing Statistics (1998), and Statistics S1 and S2 (2004, 2005). Ian Cook and Chief Examiner in Mathematics at Essex University.

Preface

Abbreviations in biographies

Dictionary

Appendices

Statistical Notation

Mathematical Notation

Greek Letters

Cumulative Probabilities for the Binomial Distribution

Cumulative Probabilities for the Poisson Distribution

Upper-Tail Percentage Points for the Standard Normal Distribution

The Standard Normal Distribution Function

Percentage Points for the t-Distribution

Percentage Points for the F-Distribution

Percentage Points for the Chi-Squared Distribution

Critical Values for Spearman's Rank Correlation Coefficient

Critical Values for Kendall

Critical Values for the Product-Moment Correlation Coefficient, r

Pseudo-Random Numbers

Selected Landmarks in the Development of Statistics

Honours and Awards

Further Reference

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### Contents

 Appendices 113 Percentage Points for the fDistribution 434 Critical Values for Kendalls t 442