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18.440 Probability and Random Variables, Spring 2011

Author(s)
Sheffield, Scott
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Download18-440-spring-2011/contents/index.htm (33.83Kb)
Alternative title
Probability and Random Variables
Terms of use
Usage Restrictions: This site (c) Massachusetts Institute of Technology 2015. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. Usage Restrictions: Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/
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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
URI
http://hdl.handle.net/1721.1/97467
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

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