New Cambridge Statistical Tables

New Cambridge Statistical Tables
Author: Dennis V. Lindley
Publisher: Cambridge University Press
Total Pages: 96
Release: 1995-08-03
Genre: Mathematics
ISBN: 9780521484855

The latest edition of this very successful and authoritative set of tables, first published in 1984, still benefits from clear typesetting, which makes the figures easy to read and use, but has been improved by the addition of new tables. These give Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. The authors have taken great care to ensure the clarity of the tables and how their values may be used; the tables are easily interpolated. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences, and will be an essential aid for teachers, users and students in these areas.

A Guide to Mathematical Tables

A Guide to Mathematical Tables
Author: N. M. Burunova
Publisher: Elsevier
Total Pages: 237
Release: 2014-05-09
Genre: Mathematics
ISBN: 1483184439

A Guide to Mathematical Tables is a supplement to the Guide to Mathematical Tables published by the U.S.S.R. Academy of Sciences in 1956. The tables contain information on subjects such as powers, rational and algebraic functions, and trigonometric functions, as well as logarithms and polynomials and Legendre functions. An index listing all functions included in both the Guide and the Supplement is included. Comprised of 15 chapters, this supplement first describes mathematical tables in the following order: the accuracy of the table (that is, the number of decimal places or significant figures); the limits of variation of the argument and the interval of the table; and the serial number of the book or journal in the reference material. The second part gives the author, title, publishing house, and date and place of publication for books, and the name of the journal, year of publication, series, volume and number, page and author and title of the article cited for journals. Topics range from exponential and hyperbolic functions to factorials, Euler integrals, and related functions. Sums and quantities related to finite differences are also tabulated. This book will be of interest to mathematicians and mathematics students.

Learning To Use Statistical Tests In Psychology

Learning To Use Statistical Tests In Psychology
Author: Greene, Judith
Publisher: McGraw-Hill Education (UK)
Total Pages: 227
Release: 2005-12-01
Genre: Psychology
ISBN: 0335216803

Praise for the first edition: "An excellent textbook which is well planned, well written, and pitched at the correct level for psychology students. I would not hesitate to recommend Greene and d'Oliveira to all psychology students looking for an introductory text on statistical methodology." Bulletin of the British Psychological Society Learning to Use Statistical Tests in Psychology third edition has been updated throughout. It continues to be a key text in helping students to understand and conduct statistical tests in psychology without panic! It takes students from the most basic elements of statistics teaching them: How psychologists plan experiments and statistical tests Which considerations must be made when planning experiments How to analyze and comprehend test results Like the previous editions, this book provides students with a step-by-step guide to the simplest non-parametric tests through to more complex analysis of variance designs. There are clear summaries in progress boxes and questions for the student to answer in order to be sure that they have understood what they have read. The new edition is divided into four discrete sections and within this structure each test covered is illustrated through a chapter of its own. The sections cover: The principles of psychological research and psychological statistics Statistical tests for experiments with two or three conditions Statistical tests based on ANOVA (Analysis of Variance) conditions as well as tests for multiple comparisons between individual conditions Statistical tests to analyze relationships between variables Presented in a student-friendly textbook format, Learning to Use Psychological Tests in Psychology enables readers to select and use the most appropriate statistical tests to evaluate the significance of data obtained from psychological experiments. An errata sheet detailing the Decision Chart which is referred to can be downloaded by clicking here