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The Reality of Residual Analysis

机译:残差分析的现实

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摘要

In the world of statistics textbooks, independent random samples of size 30 from a normal distribution are a dime a dozen-the norm rather than the exception. You simply perform the correct analysis (perhaps the one you just studied in the most recent chapter), everything goes like clockwork, and you move on to the next problem. Unfortunately, the real world stubbornly refuses to conform to this alternative reality of statistics textbooks. In the real world, you rarely find normal distributions, much less independence. In addition, the variable of interest is typically impacted by variables not in your data set, as unfair as this might sound. Therefore, you don't have the luxury of simply doing the obvious correct analysis and moving on. Rather, to avoid the potholes in the road to statistical insight, you should always take a critical look at your own analysis to ensure you haven't missed something important.
机译:在统计教科书世界中,来自正态分布的大小为30的独立随机样本只是一角钱,这是正常现象,而不是例外情况。您只需执行正确的分析(也许是您在最近一章中刚刚研究的分析),一切就如发条一样,然后继续进行下一个问题。不幸的是,现实世界顽固地拒绝遵守统计学教科书的这种替代现实。在现实世界中,您很少会发现正态分布,更不用说独立性了。此外,感兴趣的变量通常会受到不在您的数据集中的变量的影响,这听起来可能不公平。因此,您不能仅进行明显的正确分析并继续进行。相反,为了避免在获得统计洞见的道路上遇到麻烦,您应该始终认真分析自己的分析,以确保您没有错过重要的事情。

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