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Statistical Mysteries and How to Solve Them

An introductory quantitative & statistical reasoning course designed to help students acquire statistical literacy & competency to survive in a data-rich world. The course introduces students to basic concepts in probability, research design, descriptive statistics, & simple predictive models to help them to become more savvy consumers of the information they will routinely be exposed to in their personal, academic & professional lives. Course material will be conveyed through video clips, case studies, puzzle solving, predictive competitions, & group discussions.

Liberal Arts Core/CORE Equivalent - satisfies the requirement for Quantitative Reasoning for certain programs; students should check with their Academic Advisor for confirmation.

Course #
Applied Statistics, Social Science, and Humanities
Liberal Arts Core


Jennifer Hill

Professor of Applied Statistics; Director of PRIISM; Co-Director of A3SR MS Program

Daphna Harel

Associate Professor of Applied Statistics; Co-Director of A3SR MS Program