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Activity Number: 492 - Why Probability, Then Statistics When It Can Be Probability, for Statistics? New Approaches for Teaching Mathematical Statistics
Type: Invited
Date/Time: Thursday, August 11, 2022 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and Data Science Education
Abstract #320400
Title: Calcu Less - Compute More: Rethinking Traditional Pathways for Increasing Access to Data Science
Author(s): Ayona Chatterjee*
Companies: Cal State Univ East Bay
Keywords: data science; re-imagined coursework; under-served populations; probability simulation

Traditionally statistics has been taught in a classroom with textbooks and calculators. That is in the past, our "calcu-less - compute more" option for our Data Science students focuses on preparing students for the needs of today's data intensive world. One of the biggest barriers to getting more under-served populations and women to pursue STEM related fields such as statistics and Data Science has been the traditional math courses such as calculus. Women are 1.5 times more likely to leave a STEM field after pursuing calculus as compared to men. To attract more women and under-served populations, we are re-imagining the prerequisites for a statistics program including courses such as probability. Our probability through simulation course uses estimation of probabilities applying the Law of Large Numbers using repeated sampling. We introduce accuracy of probabilities applying the Central Limit Theorem using repeated sampling. Students simulating conditional probabilities using conditional programming techniques. The students in their regression class do not derive theorems but the emphasis is on applications and real-world data sets.

Authors who are presenting talks have a * after their name.

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