Home » Uncategorized

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

By Winnifred Louis, Associate Professor, Social Psychology, The University of Queensland, and Cassandra Chapman,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