The seven deadly sins of statistical misinterpretation, and how to avoid them

The seven deadly sins of statistical misinterpretation, and how to avoid them

The seven deadly sins of statistical misinterpretation, and how to avoid them

By , Associate Professor, Social Psychology, The University of Queensland, and ,PhD Candidate in Social Psychology, The University of Queensland.

Here are the 7 sins:

  • Assuming small differences are meaningful
  • Equating statistical significance with real-world significance
  • Neglecting to look at extremes
  • Trusting coincidence
  • Getting causation backwards
  • Forgetting to consider outside causes
  • Deceptive graphs

To read how to avoid them, read the original article

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The seven deadly sins of statistical misinterpretation, and how to avoid them