Quantitative Methods 1

Topics covered in this course include: data and data presentation; probability; decision analysis; sampling distributions; applications of sampling and risk analysis; statistical estimation, hypothesis testing; regression and correlation; multiple regression; index numbers; time series; statistical decision theory; and an introduction to linear programming.

Prerequisites: Completion of Basic Probability & Statistics or equivalent.

Note: The final exam is in-person, and will be scheduled between December 3 to 15, 2025.