The statistical faux pas is appealing, intuitive, logical, and persuasive, but demonstrably false. They are uniformly presented based on authority and supported based on assertion. Unfortunately, these errors spontaneously regenerate every few years, propagating in peer reviewed journal articles; popular college textbooks; and most prominently, in the alternate (e.g., qualitative), nonprofessional (e.g., Wikipedia), and dissident literature. Some of the most egregious and grievous are noted below.

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Statistical Fallacies, Misconceptions, and Myths

  • Shlomo Sawilowsky

摘要

The statistical faux pas is appealing, intuitive, logical, and persuasive, but demonstrably false. They are uniformly presented based on authority and supported based on assertion. Unfortunately, these errors spontaneously regenerate every few years, propagating in peer reviewed journal articles; popular college textbooks; and most prominently, in the alternate (e.g., qualitative), nonprofessional (e.g., Wikipedia), and dissident literature. Some of the most egregious and grievous are noted below.