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Nonparametric statistics for the behavioral sciences Sidney Siegel
Publisher: McGraw-Hill

Nonparametric Statistics for the Behavioral Sciences. For example, all traditional methods of statistical process control, Shewhart control charts, CUSUM charts, and EWMA charts assume that the observations are independent, and that the statistic of interest is normally distributed. A standard textbook is 'Nonparametric Statistics for the behavioral sciences' by Sidney Siegel, first published in 1956 by McGraw-Hill Book Co in its Series in Psychology (ISBN 07-057348-4) and revised in 2001. Wallnau, Mathematics Books - Blackwell Online Bookshop. The objective of this paper is to demonstrate how nonparametric statistical methods can be simply applied to data likely to result from plant disease experiments. In case you wonder, as I did, Table D in Nonparametric Statistics for the Behavioral Sciences indicates that the probability of this distribution being random is 5.9%, i e it's not statistically significant at the 5%-level. SEIGEL S and Castellan N J (1988) Nonparametric statistics for the behavioural sciences: International edition. Statistics for the Behavioral Sciences, Frederick J. Technical Report, UK e-Science Series UKeS-2002-02, National e-Science Centre, Edinburgh, UK. Siegel S: Non-parametric Statistics for the Behavioral Sciences. New York: McGraw-Hill; 1956:75-83. We define a minimum set of features as allowing trial sites to submit data electronically into the central database and to be able to query that central database for reports and aggregate statistics. All trials have to enter/transfer their data at some point into an electronic database or file for .. Offers an introduction to statistics for students in the behavioral and social sciences. [CrossRef]; ‎Siegel S, Castellan J.