## 18.440 Probability and Random Variables, Spring 2011

##### Author(s)

Sheffield, Scott
Download18-440-spring-2011/contents/index.htm (33.83Kb)

##### Alternative title

Probability and Random Variables

##### Metadata

Show full item record##### Abstract

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.

##### Date issued

2011-06##### Other identifiers

18.440-Spring2011

local: 18.440

local: IMSCP-MD5-ba28dc671adaf64a55a0ce4355bb2f70

##### Keywords

Probability spaces, random variables, distribution functions, Binomial, geometric, hypergeometric, Poisson distributions, Uniform, exponential, normal, gamma and beta distributions, Conditional probability, Bayes theorem, joint distributions, Chebyshev inequality, law of large numbers, and central limit theorem