CAJ | 학술논문

正态分布是一种重要的连续型概率分布。统计分析中，研究者们时常跳过了对所研究变量的正态性检验，直接认为资料满足正态假定。如果恰逢涉及的数值变量并非来自正态总体，就会得到错误的分析结果。常用的正态性检验方法主要有两大类：一是主观判断的图示方法，二是客观量化的统计指标计算辅以检验。本文介绍常见的几种正态性检验方法，为数值变量统计学分析方法的正确运用提供参考。
정태분포시일충중요적련속형개솔분포。통계분석중，연구자문시상도과료대소연구변량적정태성검험，직접인위자료만족정태가정。여과흡봉섭급적수치변량병비래자정태총체，취회득도착오적분석결과。상용적정태성검험방법주요유량대류：일시주관판단적도시방법，이시객관양화적통계지표계산보이검험。본문개소상견적궤충정태성검험방법，위수치변량통계학분석방법적정학운용제공삼고。
Normal distribution is one of the important distributions for continuous variables. In many statistical analyses, researchers often assumed directly the data were normally distributed without test before hand. If the numerical variables are not normally distributed, it may lead to wrong results. Normality tests which are commonly used can be classified into two categories. One category includes subjective graphical methods , and the other category contains computational methods including hypothesis tests which are objective and quantitative. In this paper , several normality tests popularly used will be introduced according to the above two categories to provide references for proper applications of statistical analyses of numerical variables.