MATH341 — Applied Statistical Methods I
5 CR This class covers probability theory and applications including trees and Venn diagrams, conditional probability, contingency tables, independence, and Bayes theorem. It will cover random variables and sampling distributions (binomial, Poisson, normal, exponential, geometric, and hypergeometric) and their use in confidence intervals and hypothesis testing such as t-tests, z-tests, one and two-sample mean and proportions, chi-squared; ANOVA. The focus will be on statistics in real-world examples from various sources using programming languages R or Python. Students should expect to produce reports and presentations. Course
Prerequisites: BA240