期刊名称：Epidemiology, Biostatistics and Public Health
印刷版ISSN：2282-0930
出版年度：2018
卷号：15
期号：3
DOI：10.2427/12949
语种：English
出版社：PREX
其他摘要：The Pearson’s chi-square test or X 2 test represents a nonparametric test more used in Medicine, Biology and Social Sciences, but it introduces some error for 2x2 contingency tables, therefore Yates introduces a continuity correction. This correction produces a very conservative result of X 2 statistics with overestimation of p-value and consequently a type II error is very likely. The goal of this paper is to define, with a statistical approach, a significant minimization of Pearson’s X 2 statistics for small data sample, based on concept of arithmetic mean, that could be a possible efficient statistic for reducing the type II error in the calculation of p-value.
