Data Overload: Making Sense of Statistics in the News

Tuesday, October 20, 2020 10:00 am - 11:00 am
ONLINE WEBINAR
Between the COVID-19 pandemic and the upcoming U.S. election we are bombarded with statistics at every turn. Just reading the news requires a level of statistical literacy that many of us lack. Fortunately, the news also provides a rich set of stories that can make learning statistics more fun and engaging.
 
In this webinar, Stanford Associate Professor Kristin Sainani will teach key statistical principles using actual examples from the news. She will show you how to recognize miscalculated, misrepresented, or overhyped numbers and better understand risk, probability, and correlation.
 

You Will Learn:

  • Techniques for spotting misleading statistics in the news
  • Ways that statistics affect and inform our everyday lives 
  • Methods to understand, quantify, and describe risk and probability
  • Limitations of statistical adjustment and confounding

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