INTRODUCTORY PROBABILITY

Catalog description

Topics to be covered include: sample spaces, events, rules, permutations and combinations, conditional probability, bayes theorem, random variables, probability distributions, mathematical expectation and variance, chevyshevs theorem, the law of large numbers, the central limit theorem, and markov chains.