18.440 Probability and Random Variables, Spring 2011

Author(s)
Sheffield, Scott
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Alternative title
Probability and Random Variables
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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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