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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 especially understandable and does not require software nor the non-central Chi-square tables. Simulations are used to verify the accuracy of the new method.
ISSN:0167-9473
1872-7352
DOI:10.1016/j.csda.2008.04.007