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CC = Walter E. Washington Convention Center   M = Marriott Marquis Washington, DC
* = applied session       ! = JSM meeting theme

Activity Details

492 * ! Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-150B
Why Probability, Then Statistics When It Can Be Probability, for Statistics? New Approaches for Teaching Mathematical Statistics — Invited Papers
Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science, International Association for Statistical Education
Organizer(s): Peter E. Freeman, Carnegie Mellon University
Chair(s): Nicholas Joseph Seewald, Johns Hopkins Bloomberg School of Public Health
8:35 AM Utilizing Spiral Learning to Enhance Conceptual Retention in Mathematical Statistics
Peter E. Freeman, Carnegie Mellon University
8:55 AM Three-Course Dinner or Thanksgiving Feast? Putting the Pieces Together in a Modern Math/Stat Sequence
Randall Pruim, Calvin University
9:15 AM Teaching Probabability Theory in the Inverted Style
Jonathan Wells, Reed College
9:35 AM Calcu Less - Compute More: Rethinking Traditional Pathways for Increasing Access to Data Science
Ayona Chatterjee, Cal State Univ East Bay
9:55 AM Cutting Through the Theory: Emphasizing and Assessing Conceptual Understanding in Mathematical Statistics
Erin Blankenship, University of Nebraska-Lincoln; Jennifer Green, Michigan State University
10:15 AM Floor Discussion
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