This course introduces the fundamentals of probability theory and statistics. It covers the following topics: conditional probability and Bayes theorem, discrete distributions, decision trees, continuous distributions, the central limit theorem, sampling and sampling distributions, interval estimation, hypothesis testing, correlation and simple regression.
(4/11-GC)