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文章基本信息

  • 标题:Naive Analysis of Variance
  • 本地全文:下载
  • 作者:W. John Braun
  • 期刊名称:Journal of Statistics Education
  • 电子版ISSN:1069-1898
  • 出版年度:2012
  • 卷号:20
  • 期号:2
  • 出版社:American Statistical Association
  • 摘要:

    The Analysis of Variance is often taught in introductory statistics courses, but it is not clear that students really understand the method. This is because the derivation of the test statistic and p-value requires a relatively sophisticated mathematical background which may not be well-remembered or understood. Thus, the essential concept behind the Analysis of Variance can be obscured. On the other hand, it is possible to provide students with a graphical technique that makes the essential concept transparent. The technique discussed in this article can be understood by students with little or no background in probability or statistics. In fact, only the ability to add, subtract, compute averages, and interpret histograms is required.

  • 关键词:Data visualization; Graphical ANOVA; Resampling.
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