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Statistical Mysteries and How to Solve Them

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


Jennifer Hill

Professor of Applied Statistics; Co-Department Chair; Co-Director of PRIISM

Daphna Harel

Associate Professor of Applied Statistics; Director of A3SR MS Program