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- Thursday, March 29, 2018
- 3:40 PM–4:30 PM
- North Hall 276
Michael Stob, Dean for Academic Administration
In 2016, the American Statistical Association published a statement on p-values. This unprecedented statement was motivated by increasing criticism of both the contemporary practice and theoretical foundations of statistical hypothesis testing. Hypothesis testing is taught in every introductory statistics class as an important method for gaining scientific knowledge from data. So why don’t p-values always mean what we think they mean?
Refreshments precede the talk at 3:30 in NH 282.
