Second, Laura Callis will present a student activity on Thursday, February 20 at 4pm ET, 3pm CT, 1pm PT. This will be a demo lesson of the Hubble Space Telescope Investigation. This investigation looks at inference for one proportion, including the idea of the impact of sample size on statistical significance.
This investigation is based on a real research study looking at whether applications for using the Hubble Space Telescope that were submitted by female principal investigators were less likely to be selected. You can listen to the NPR piece here. This research had a real impact on policy! Now, applications are blinded - the names are removed from the application, which has resulted in more gender equity.
The zoom link for this session on Thur Feb 20 (please no bots 🙂) is: https://curry.zoom.us/j/98481552774
Both presentations will be recorded and posted, here:
https://sites.google.com/view/eaapost/workshops
Thanks for considering these, and best wishes,
Allan Rossman