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Material Detail

18.440 Probability and Random Variables (MIT)

18.440 Probability and Random Variables (MIT)

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.... Show More
Keywords:
normal, exponential, random variables, Poisson distributions, distribution functions, Probability spaces, Probability and Statistics, Conditional probability, ocwc, Uniform, oec, Binomial, and central limit theorem, gamma and beta distributions, law of large numbers, joint distributions, Bayes theorem, geometric, hypergeometric, Chebyshev inequality
Disciplines:
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Material Type:
Online Course
Date Added to MERLOT:
August 6, 2014
Date Modified in MERLOT:
March 29, 2017
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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