Probability and Random Variables

Partial Pascal's triangle showing numbers on diagonals.

Pascal's triangle is a triangular array of the binomial coefficients. (Public domain via wikimedia commons.)


MIT Course Number


As Taught In

Spring 2014



Cite This Course

Course Features

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.

Scott Sheffield. 18.440 Probability and Random Variables, Spring 2014. (Massachusetts Institute of Technology: MIT OpenCourseWare), (Accessed). License: Creative Commons BY-NC-SA

For more information about using these materials and the Creative Commons license, see our Terms of Use.