MATH THEORY OF STATISTICS I
3 Credit Coop Course-MSU
This course is designed to cover the following: general probability, Bayes’ Theorem, discrete and continuous random variables, mathematical expectation, moments and moment generating functions, density functions for single and multiple random variables, marginal and conditional probability distributions, some particular distributions, sampling theory and the Central Limit Theorem.
This course is designed to cover the following: general probability, Bayes’ Theorem, discrete and continuous random variables, mathematical expectation, moments and moment generating functions, density functions for single and multiple random variables, marginal and conditional probability distributions, some particular distributions, sampling theory and the Central Limit Theorem.