This is an introductory probability course with a brief indication of applications to statistics. Since there is not a calculus prerequisite, the emphasis is on finite cases with heuristic treatment of countably infinite and continuous extensions. Basic theory of probability, counting rules, conditional probability, independence, Bayes’ Theorem. Discrete and continuous random variables. The course ends with a brief discussion of inferential statistics showing how the probability theory developed in the course leads to confidence estimation and hypothesis testing.