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Hypothesis Testing: Means and Proportions  

Pak, Son-Il (School of Veterianry Medicine and Institute of Veterinary Science, Kangwon National University)
Lee, Young-Won (College of Veterinary Medicine, Chungnam National University)
Publication Information
Journal of Veterinary Clinics / v.26, no.5, 2009 , pp. 401-407 More about this Journal
Abstract
In the previous article in this series we introduced the basic concepts for statistical analysis. The present review introduces hypothesis testing for continuous and categorical data for readers of the veterinary science literature. For the analysis of continuous data, we explained t-test to compare a single mean with a hypothesized value and the difference between two means from two independent samples or between two means arising from paired samples. When the data are categorical variables, the $x^2$ test for association and homogeneity, Fisher's exact test and Yates' continuity correction for small samples, and test for trend, in which at least one of the variables is ordinal is described, together with the worked examples. McNemar test for correlated proportions is also discussed. The topics covered may provide a basic understanding of different approaches for analyzing clinical data.
Keywords
t-test; $x^2$ test; Fisher's test; trend test; McNemar test;
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