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Overview

Mathematics & Statistics (Sci) : Multiple regression estimators and their properties. Hypothesis tests and confidence intervals. Analysis of variance. Prediction and prediction intervals. Model diagnostics. Model selection. Introduction to weighted least squares. Basic contingency table analysis. Introduction to logistic and Poisson regression. Applications to experimental and observational data.

Terms: Fall 2020

Instructors: Yang, Yi (Fall)

• Fall

• Prerequisites: MATH 324, and MATH 223 or MATH 236

• Restriction: Not open to students who have taken or are taking MGSC 372.