Description

Axioms of probability, conditional probability and independence, permutations and combinations, density and distribution functions, examples of random variables, independence of random variables, transformations of random variables, order statistics, expected value, variance, higher moments; Chebychev's inequality, convergence concepts, moment generating functions, central limit theorem. Graded P or F.
Course period1/09/2131/12/21
Course levelPG
Course formatLecture