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Nonparametric statistics for the behavioral sciences by Sidney Siegel

Nonparametric statistics for the behavioral sciences Sidney Siegel ebook
Publisher: McGraw-Hill
Page: 332
Format: pdf
ISBN: 9780070573,

3 Institute for Molecular Bioscience, University of Queensland, 306 Carmody Road, .. For the combined period 2006-2008, including the years 2006 and 2008, Siegel, S. Non-parametric statistics for the behavioral sciences. Siegel S, Castellan NJ: Nonparametric Statistics for the Behavioral Sciences. Gravetter FJ, Wallnau LB (2009) Statistics for the behavioral sciences. It also evaluates the use of Statistical Significance tests in Information Retrieval and then proceeds to check the different significant tests used by researchers in the papers submitted to Special Interest Group on Information Retrieval (SIGR) in the period 2006, 2007 and 2008. Frequently, these statistical methods model the data in the form of analysis of variance (ANOVA), or use methods often regarded as their non-parametric equivalents. 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. 2 Genome Exploration Research Group (Genome Network Project Core Group), RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL.