STATS 116: Theory of Probability
Undergraduate course, Stanford University, Department of Statistics
Summer 2020, Spring 2021
Course description
Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and densities. Random variables, expectation, independence, conditional probability. Introduction to the laws of large numbers and central limit theorem.