• Probability and Statistics

Catalog description

Basic axiomatic probability, conditional probability and Bayes’ Theorem, discrete and continuous random variables and their distributions, moment generating functions, multivariate random variables and transformations, stochastic processes, sampling distributions and estimators, confidence intervals, hypothesis testing, and an introduction to simple linear regression. Applications to actuarial science, data science, and engineering. Prerequisites: MAT 125 with a C- or higher. Offered: Fall.