Friday 11 March 2011

Handbook of Parametric and Nonparametric Statistical Procedures


Handbook of Parametric and Nonparametric Statistical Procedures
David J. Sheskin | 2007-01-01 00:00:00 | Taylor & Francis, Inc. | 1736 | Statistics
Synopsis
In the new edition of this applications-oriented reference work, Sheskin (psychology, Western Connecticut State U.) describes univariate and bivariate statistical procedures used in a wide variety of academic disciplines. Invoking the goal of practicality, he has written the material to be accessible and usable to those who lack the theoretical or mathematical background necessary for understanding convention statistics reference books. Issues of application selection and computational guidelines are discussed. Annotation ©2003 Book News, Inc., Portland, OR
Annotation
Single sample z test, chi-square goodness-of-fit, Wilcoxon signed-ranks test, analysis of variance, etc.
Booknews
A reference on statistical procedures for students and experienced researchers, explaining some 75 parametric and nonparametric procedures with examples relating to experimental design, control, and statistical analysis, emphasizing application over theory. Provides computational guidelines for each procedure, organized in a standardized format using standardized sets of data. Assumes basic familiarity with descriptive statistics and experimental design, although there is an overview provided. Annotation c. by Book News, Inc., Portland, Or.
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