Theory of Probability

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. Prerequisites: MATH 52 and familiarity with infinite series, or equivalent.

Course Details

Summer Session Online visiting students will be enrolled in STATS 116U. Matriculated Stanford students taking the courses online enroll in STATS 116. 

Prerequisites

Math 52 and familiarity with infinite series, or equivalent.

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