A simple method of computing the sample size for Chi-square test for the equality of multinomial distributions

Computing the appropriate sample size is one of the most important aspects of designing an experiment. For the Chi-square test of the equality of multinomial populations a very simple method is proposed for calculating the sample size to satisfy specified significance level and power. This method is...

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Bibliographic Details
Published in:	Computational statistics & data analysis Vol. 52; no. 11; pp. 4903 - 4908
Main Authors:	Nisen, Jeffrey A., Schwertman, Neil C.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 15.07.2008 Elsevier Science Elsevier
Series:	Computational Statistics & Data Analysis
Subjects:	Exact sciences and technology General topics Mathematics Multivariate analysis Numerical analysis Numerical analysis. Scientific computation Numerical methods in probability and statistics Probability and statistics Sampling theory, sample surveys Sciences and techniques of general use Statistics Data analysis Sample size Chi square test Significance level Computing Equality test Chi square Sampling theory Statistical computation Simulation Experimental design Distribution function Software Multinomial distribution Sample survey Computing method
ISSN:	0167-9473, 1872-7352
Online Access:	Get full text
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