Course: MATH 340. Introduction to Probability and Statistics (4)
Prerequisite: Completion of MATH 150B with a grade of “C” or better. Sample spaces, probability rules, independence, conditional probability, Bayes Theorem, discrete random variables (binomial, Poisson, geometric, negative binomial), continuous random variables (normal, gamma, exponential, uniform), expectations, moment generating functions, joint, conditional and marginal distributions and conditional expectations, linear combinations of random variables, sampling distributions, Central Limit Theorem, inference for single means and for one and two proportions, and least squares regression.