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显著性分析的四种功能
趙心樹
2016-12
Size of Audience100
Type of Speaker学术报告
Abstract

显著性分析是数理统计科学贡献给其他学科的一个重要工具。显著性分析的设计功能是“推测”,即,从样本推测母本,也就是估算样本中的差别不存在于母本中的几率 (p 值)。但是,多年来,在社会科学的实践中,研究者经常把显著性分析用于另外三个功能,即“证实”、“预筛”、“分类”。

 

 

Other Abstract

Statistical significance test, one of the most important contributions of mathematical statistics, was designed for projection, namely to project from a sample to its population, by estimating the probability (p) that a difference observed in a probability sample does not exist in the population from which the sample has been drawn. In social sciences, however, researchers have used the significance tests for three other functions, namely proof, prescreen, and prototyping. 

 

Keyword显著性分析 统计显著性 数理统计 Statistical Significance Statistical Significance Test Mathematical Statistics
MOST Discipline Catalogue统计学
Author of Source北京师范大学
Source Publication北京师范大学统计学院/数据科学中心专题演讲
Conference Date2016-12-25
Conference Place北京
Language中文Chinese
Document TypePresentation
CollectionPersonal research not belonging to the institution
Affiliation香港浸会大学传理学院
Recommended Citation
GB/T 7714
趙心樹. 显著性分析的四种功能[Z]. 北京师范大学统计学院/数据科学中心专题演讲, 2016-12-25.
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