MATH 316 - Mathematical Probability and Statistics

4 credit(s)
This course covers the fundamentals of mathematical probability and statistics, including the axioms of probability, conditional probability, discrete and continuous random variables, multivariate distributions, moment generating functions, the binomial, geometric, Poisson, normal, and exponential distributions and the Central Limit Theorem. Additional topics from statistical inference theory such as order statistics, confidence intervals, and Chi-Square tests in addition to estimation of parameters using maximum likelihood methods will also be covered as time permits.
Offered: Alternate years.

Prerequisite(s): MATH 227 (may be taken concurrently) and MATH 240 each with a minimum grade of C.