Students learn combinatorial analysis, axioms of probability, conditional probability, discrete, continuous and jointly distributed random variables, moment generating functions and limit theorems. Students apply theoretical concepts to inferential statistics, Bayes’ Theorem, and Markov chains. Prerequisites:MTH 141 or Instructor Consent
