Probability for Statistical Inference, Modeling, and Data Analysis

1 credits · Undergraduate

Probability models, random variables with discrete and continuous distributions. Marginal, joint, and conditional distributions. Expectations, functions of random variables, central limit theorem. Estimators and sampling distributions, method of moments, and maximum likelihood estimation. Prerequisite: MATH 22, 112L, 122, 122L, 202D, 212, 219, 222, or graduate-student standing. Not open to students who have taken STA/MATH 230, STA/MATH 230S, or STA 231/MATH 340, or MATH 231.