Between the COVID-19 pandemic and the 2020 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 illustrates key statistical principles using actual examples from the news. She demonstrates how to recognize miscalculated, misrepresented, or overhyped numbers and better understand risk, probability, and correlation.
Learn more about Stanford’s Medical Statistics Program:
