MATH 333 Probability and Statistics I
This course introduces students to discrete and continuous probability, including conditional probability, random variables, independence, Bayes’ Theorem, expected value, variance, distributions, and the Central Limit Theorem. Using the probability covered in the first half of the semester, the course also covers some of the main topics of mathematical statistics, including statistical hypothesis testing, errors, correlation, regression equations, and analysis of variance. Co-requisites: MATH 210 and MATH 225. Liberal Arts.