Beth Chance (Cal Poly - San Luis Obispo), Daniel Kaplan (Macalester College), Hollylynne Lee (NC State), Iddo Gal (University of Haifa), Jessica Utts (UC - Irvine), Larry Lesser (UTEP), Michael Posner (Villanova), & William Finzer (Concord Consortium)
Session Ended
Information
Five-Minute Presentations on “Evaluating Evidence”
Beth Chance, Cal Poly – San Luis Obispo (00:02)
Daniel Kaplan, Macalester College (04:18)
Hollylynne Stohl Lee, North Carolina State University (09:56)
Iddo Gal, University of Haifa (15:51)
Jessica Utts, University of California – Irvine (21:44)
Lawrence Lesser, University of Texas – El Paso (27:55)
Michael Posner, Villanova University (34:30)
William Finzer, Concord Consortium (41:25)
Recording
Materials
- Beth Chance - Putting the p-value in its place.pdf
- Danny Kaplan - The fault lies not in our ... but in ourselves.pdf
- Hollylynne Lee - Data Science Education in 6-12 Classrooms- What Shoulda Coulda Woulda, But Often Ain’t There.pdf
- Iddo Gal - Evaluating Evidence.pdf
- Jessica Utts - The Hypothesis Testing Paradox.pdf
- Larry Lesser - Evaluate Teaching & Learning in Real Time? Simple as ABC!.pdf
- Michael Posner - The data science race-_one statistics educator’s perspective.pdf
- William Finzer - Data Immersion.pptx