考试成绩的非正态性研究

Non- normality Analysis on a Test Scores

理想条件下，考试成绩呈现正态分布，但由于各种原因，实际的成绩并不一定满足正态性。选择了合适的正态性K—S检验方法，进一步给出了高峰分布和偏态分布非正态成绩的检验方法。再通过方差分析，对比了这2种非正态成绩和正态成绩在各个指标上的差别，得出造成这种非正态性成绩的原因和纠正方法。

Under the ideal condition, test scores are distributed normally, but due to many actual reasons, the test scores may not be normally distributed. With the aids of K - S test, this paper presents all the non - normal scores. Further by appropriate test statistics, the paper discusses the differences of two types of test scores distribution. Finally by ANOVA, the paper finds the cause and correcting method of non - normality of the test scores.