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Nov 21, 2024
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STAT 335 - Data Simulation and Analysis
Uses Monte Carlo simulations to understand operating characteristics of a statistical method. Approximates bias and variance for point estimation, coverage probability for interval estimation, and Type I error rate and statistical power for hypothesis testing. Studies the impact of model misspecification and the importance of adjusting confounding variables in observational studies. Introduces how to build (parameterize) a statistical model to address a research question of interest.
Prerequisite(s)/Corequisite(s): (Prereq: MATH 320 or STAT 250 or STAT 100 or BUS 204 with a C- or better)
Typically Offered: Fall term only - odd years
Units: 4
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