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

Related articles:

Top DSC Resources

Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge


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

Share This