Data Overload: Making Sense of Statistics in the News

Free Stanford Webinar

On demand

Summary

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

Presented By

Stanford Online Medical Statistics Program

Questions?

Contact us at [email protected] or 650-204-3984

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Kristin Sainani

Kristin Sainani (née Cobb) is an associate professor at Stanford University. She teaches statistics and writing; works on statistical projects in sports medicine; and writes about health, science and statistics for a range of audiences. She authored the health column Body News for Allure magazine for a decade. She is also the statistical editor for the journal Physical Medicine & Rehabilitation; and she authors a statistics column, Statistically Speaking, for this journal. She teaches the popular Massive Open Online Course (MOOC) Writing in the Sciences on Coursera. She was the recipient of the 2018 Biosciences Award for Excellence in Graduate Teaching at Stanford University.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

Officia Deserunt

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.