期刊文献+

基于程度化思想的假设检验p值教学研究 被引量:2

Research on Hypothesis Test P-value Teaching Based on Level of Degree
下载PDF
导出
摘要 文章针对教材中关于p值概念叙述不详,在应用过程中将其作用无限放大等现象,基于程度化思想,对p值进行了比较全面的研究。从显著性水平和检验证据两个角度,叙述了p值的两种定义,举例说明了p值的具体计算方法,阐述了p值的本质涵义和可能的三种误解。 Accurate understanding of the meaning of p-value is the basis for understanding the test conclusion.For the phenomenon that the definition of p-value is not exhaustive in many statistics textbooks,and the function of p-value is magnified infinitely in some applications,a comprehensive study of p-value is conducted in several aspects in this paper.From the perspective of teaching,two definitions of p-value are described from the perspective of significance level and test evidence.And the specific method of p-value calculation is illustrated by several examples.Essential meaning of p-value and possible three misunderstandings are explained in detail.
作者 魏立力 刘国军 WEI Li-li;LIU Guo-jun(School of Mathematics and Statistics Ningxia University,Yinchuan,750021 China)
出处 《高等理科教育》 2020年第5期103-106,共4页 Higher Education of Sciences
基金 2019年宁夏本科教育教学改革研究与实践项目“统计学核心素养视阈下的概率论课程改革与实践”(项目编号:NXBJG-20) 2018年宁夏本科教育教学改革研究与实践项目“专业认证背景下的数学与应用数学教师教育专业培养模式改革与探索”(项目编号:NXBJG2018012)。
关键词 假设检验 P值 统计显著性 hypothesis testing p-value statistical significance
  • 相关文献

参考文献6

二级参考文献20

  • 1American Statistical Association(2010) ," ASA Statement on Risk- Limiting Post ElectionAudits," available at http ://www. amstat, org/poli- cy/pdfs/Risk-Limiting_Endorsement, pdf.
  • 2Siegfried,T. (2010), "Odds Are,It's Wrong: Science fails to face the shortcomings of statistics, "ScienceNews, 177,26, available at https :// www. sciencenews, org/article/odds-are-its-wrong.
  • 3Johnson, V. E. (2013) ," Uniformly most powerful Bayesian tests," Annals of Statistics,41,1716-1741.
  • 4Phys. org Science News Wire( 2013 ) ," The problem with p values: how significant are they, really?" available at http ://phys. org/wire-news/ 145707973/the-problem-with-p-values-howsignificant -are-they -really. html.
  • 5Gelman, A. , and Loken, E. (2014), "The Statistical Crisis in Sci- ence [ online ] ," AmericanScientist,102. Available at http://www, american- scientist, org/issues/feature/2014/6/thestatistical-cdsis-in-science.
  • 6Leek,J. (2014), "On the scalability of statistical procedures: why the p-value bashers just don'tget it," Simply Statistics blog, available at ht- tp ://simplystatistics. org/2014/02/14/on-thescalability-of-statistical-pro- cedures-why-the-p-value-bashers-just-dont -get-it/.
  • 7Nuzzo, R. ( 2014 ), "Scientific Method: statistical errors", Nature, 506,150-152, available athttp ://www. nature, corn/news/scientific-meth- od- statistical-errors-1. 14700.
  • 8Morganstein, D., and Wasserstein, R. ( 2014 ), "ASA Statement on Value-Added Models, "Statistics and Public Policy, 1,108-110, available at http://amstat, tandfonline, comJdoi/full/10. 1080/2330443X. 2014. 956906.
  • 9Siegfried,T. (2014) ,"To make science better,watch out for statis- tical flaws," ScienceNews, available at https://www, sciencenews, org/ blog/context/make- science-better-watch-out -statisticalflaws.
  • 10Peng,R. (2015) ," The reproducibility crisis in science:A statisti- cal counterattack," Significance, 12 ( 3 ), 30-32.

共引文献26

同被引文献11

引证文献2

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部