Stats + Stories: Reevaluating P Values
WYSO is partnering with Stats and Stories, a podcast produced at Miami University.
In hypothesis testing, a p-value can indicate how statistically significant a particular set of findings are. But there are some concerns that researchers have become overly reliant on the measure, leading to a lack of nuance in some discussions of data, or they are discarding interesting work simply because the p-value isn't on the right side of point 0.05. The debate over p-values is the focus of a special issue of The American Statistician and this episode of Stats and Stories. Rosemary Pennington is joined by regular panelists John Bailer, chair of Miami’s Statistics Department and Richard Campbell former and founding chair of Media Journalism and Film. Their guest Nicole Lazar, a professor of statistics at the University of Georgia. She also recently edited with Ron Wasserstein and Allen Schirm, special issue of the American statistician which included 43 wide ranging articles focused on p-values, contextualizing their history, their use as well as the debate around their utility and usefulness.
Stats and Stories is a partnership between Miami University's Departments of Statistics and Media, Journalism and Film and the American Statistical Association. You can follow us on Twitter or iTunes. If you'd like to share your thoughts on our program, send your e-mail to firstname.lastname@example.org and be sure to listen for future editions of Stats and Stories where we discuss the statistics behind the stories and the stories behind the statistics.