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  • 标题:The Importance of Teaching Power in Statistical Hypothesis Testing
  • 本地全文:下载
  • 作者:Alan Olinsky ; Phyllis Schumacher ; John Quinn
  • 期刊名称:International Journal for Mathematics Teaching and Learning
  • 电子版ISSN:1473-0111
  • 出版年度:2012
  • 出版社:Centre for Innovation in Mathematics Teaching
  • 摘要:Statistical power analysis determines the ability of a study to detect a meaningful effect size, where the effect size is the difference between the hypothesized value of the population parameter under the null hypothesis and the true value when the null hypothesis turns out to be false. Although power is an important concept it is a topic not often covered in any depth in a basic statistics class and it is often ignored by practitioners
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