| dc.contributor.author | Sheffield, Scott | en_US |
| dc.coverage.temporal | Spring 2011 | en_US |
| dc.date.issued | 2011-06 | |
| dc.identifier | 18.440-Spring2011 | |
| dc.identifier | local: 18.440 | |
| dc.identifier | local: IMSCP-MD5-ba28dc671adaf64a55a0ce4355bb2f70 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/97467 | |
| dc.description.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. | en_US |
| dc.language | en-US | en_US |
| dc.relation | | en_US |
| dc.rights.uri | 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. | en_US |
| dc.rights.uri | Usage Restrictions: Attribution-NonCommercial-ShareAlike 3.0 Unported | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | en_US |
| dc.subject | Probability spaces | en_US |
| dc.subject | random variables | en_US |
| dc.subject | distribution functions | en_US |
| dc.subject | Binomial | en_US |
| dc.subject | geometric | en_US |
| dc.subject | hypergeometric | en_US |
| dc.subject | Poisson distributions | en_US |
| dc.subject | Uniform | en_US |
| dc.subject | exponential | en_US |
| dc.subject | normal | en_US |
| dc.subject | gamma and beta distributions | en_US |
| dc.subject | Conditional probability | en_US |
| dc.subject | Bayes theorem | en_US |
| dc.subject | joint distributions | en_US |
| dc.subject | Chebyshev inequality | en_US |
| dc.subject | law of large numbers | en_US |
| dc.subject | and central limit theorem | en_US |
| dc.title | 18.440 Probability and Random Variables, Spring 2011 | en_US |
| dc.title.alternative | Probability and Random Variables | en_US |
