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Are You Significant?

机译:你重要吗?

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摘要

You know how political polls always mention a "margin of error" of so many percentage points? So Candidate X may be 3 percent up in the polls, but that's actually "a statistical dead heat." Well, the technology research world needs some discipline like this, because too many research firms have gotten lazy and are playing it fast and loose with small sample sizes. Of course I realize we all snoozed through statistics and don't want to revisit that heavy math stuff (chi square, null hypotheses, Type 1 errors, and so on). But I keep getting research reports that make highly specific claims, with an air of learned authority, that turn out to be based on such a small sample size that the results are very likely skewed by chance (or "fooled by randomness," as in the title of a current math-geek bestseller).
机译:您知道政治民意调查总是提到这么多百分点的“误差范围”吗?因此,候选人X在民意测验中可能上涨了3%,但这实际上是“统计上的死机”。好吧,技术研究界需要像这样的纪律,因为太多的研究公司变得懒惰,并且在小样本量的情况下迅速而松散地发挥作用。当然,我意识到我们所有人都在通过统计研究来解决问题,并且不想重新讨论那些繁琐的数学知识(卡方,空假设,1类错误,等等)。但是我一直在获得具有高度权威性的研究报告,这些报告具有很强的权威性,事实证明这些结果是基于如此小的样本量,结果很可能是偶然地(或“被随机性所欺骗”),如当前数学极客畅销书的标题)。

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