18.440 Probability and Random Variables

As taught in: Fall 2005

Level:

Undergraduate

Instructors:

Prof. Richard Dudley

Example of a simple combinatorial problem.

Example of a simple combinatorial problem. (Image by MIT OCW.)


Course Description

This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.
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