Statistics II: 3 hours

Catalog description

(Prerequisite: MA 1723 ). Three hours lecture. Focus on probability. An introductory, application-oriented course in probability for statistics majors: sample spaces and events; probability rules; counting; conditional probability and Bayes' rule; discrete and continuous random variables; common distributions (Bernoulli, Binomial, Geometric, Hypergeometric, Poisson, Uniform, Exponential, Normal); expectation and variance; basics of joint distributions and covariance; ideas of sampling distributions, the Law of Large Numbers, and an intuitive Central Limit Theorem. Emphasis on problem solving, real examples, and simulation