MAT 271E  Probability and Statistics
Course Objectives
To provide an elementary introduction to probability theory and statistics with applications.
Course Description
Combinatorial methods; product rule, permutation, combination. Probability; sigma algebra, probability axioms, conditional probability, Bayes formula. Random variable; distribution function, probability function, Chebyshev inequality. Discrete and continuous distributions; uniform, Bernoulli, Poisson, geometric, hypergeometric, normal, exponential, gamma and beta distributions. Generating functions. Decision theory. The notion of estimation. Hypothesis testing. Nonparametric testing. Correlation and regression.


Course Coordinator
Veysel Murat İstemihan Genç
Course Language
English


