Jun 02, 2023  
Catalog 2023-24 
Catalog 2023-24

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