摘要
在假设检验中,原假设的不同可能得到完全相反的统计推断结果;通过一个实例,分析了产生这种现象的原因,给出了假设检验有意义的条件;对假设检验中的两类错误进行了分析,并重点讨论了第二类错误,给出了减小第二类错误的两种途径:增大样本容量,尽量采用单侧检验.
In hypothesis test, there exists certain kind of phenomenon, for the given sample, if the original hypothesis is different, the statistic inference conclusion may be different. In this paper, this contradiction is analyzed through a practical example and the situation in which the hypothesis test exists is signified. Then two types of mistakes in hypothesis test especially the second-class mistake are analyzed. Finally two ways of reducing the second-class mistake are put forward, enlarging sample size and adopting the one-sided test.
出处
《湖北工业大学学报》
2006年第6期92-94,共3页
Journal of Hubei University of Technology
基金
武汉市研究创新类计划项目(20066002059)
关键词
假设检验
小概率原理
原假设
备择假设
两类错误
hypothesis test
minor probability principle
original hypothesis
Alternative hypothesis
twotypes of mistakes
