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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

Course #
APSTA-UE 10
Units
4
Term
Spring
Department
Liberal Arts Core

Professors

Jennifer Hill

Professor of Applied Statistics

jlh17@nyu.edu

Daphna Harel

Assistant Professor of Applied Statistics

dh126@nyu.edu