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STAT 2602 [0.5 credit] Statistical Models for Business Analytics and Finance


Analysis of variance, multiple regression (including polynomial regression), logistic and Poisson regression, probit models, time series (including decomposition into components, exponential smoothing, model diagnostics and ARIMA models), Monte Carlo simulation.
Includes: Experiential Learning Activity
Precludes additional credit for STAT 2607 (no longer offered).
Prerequisite(s): STAT 2601.
Lectures three hours a week and laboratory one hour a week.