摘要
区间估计和假设检验从不同角度,借助样本信息对总体相关参数做出统计推断.通过构造具体实例,对在一特定置信水平下的区间估计及三种显著性水平下的假设检验的推断结果进行了分析.结论表明,所采用的是同一个样本、同一个统计量和同一种分布,二者之间可以互相转化;二者都以小概率原理作为推断的理论依据;二者统计决策具有一致性.
From different perspective, interval estimation and hypothesis testing make statistical inference to the overall parameters with information on sample. By constructing a concrete example, the inferred results in a particular confidence level of interval estimation and in three significant levels of hypothesis testing are analyzed. It is concluded that by using the same samples with the same statistic and distribution, interval estimation and hypothesis testing can be transformed into each other; both of them have the small probability theory as the theoretical basis for inference ; both of the statistical decision-making is consistent.
出处
《河南工程学院学报（自然科学版）》
2009年第1期51-53,共3页
Journal of Henan University of Engineering：Natural Science Edition
关键词
推断统计
区间估计
假设检验
statistical inference
interval estimation
hypothesis testing
作者简介
孙文清（1972-），男，河南确山人，讲师，主要从事电子商务与物流管理研究．
