Skip to main content

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 some Steinhardt students; students should check with their Academic Advisor for confirmation.

Course #:
APSTA-UE 10
Credits:
4
Liberal Arts Core:
Quantitative Reasoning

Professors

Jennifer Hill slightly cropped

Jennifer Hill

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

Daphna Harel: woman with brown curly hair wearing glasses

Daphna Harel

Professor of Applied Statistics; Program Director of A3SR; Statistics Coordinator