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dc.contributor.authorOrloff, Jeremy
dc.contributor.authorBloom, Jonathan
dc.coverage.temporalSpring 2014
dc.date.accessioned2024-02-09T20:15:09Z
dc.date.available2024-02-09T20:15:09Z
dc.date.issued2014-06
dc.identifier18.05-Spring2014
dc.identifier.other18.05
dc.identifier.otherIMSCP-MD5-a65388e15b885e07a72ceecdbfc7110a
dc.identifier.urihttps://hdl.handle.net/1721.1/153490
dc.description.abstractThis course provides an elementary introduction to probability and statistics with applications. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression. The Spring 2014 version of this subject employed the residential MITx system, which enables on-campus subjects to provide MIT students with learning and assessment tools such as online problem sets, lecture videos, reading questions, pre-lecture questions, problem set assistance, tutorial videos, exam review content, and even online exams.en
dc.language.isoen-US
dc.relation.isbasedonhttp://hdl.handle.net/1721.1/96772
dc.rightsThis site (c) Massachusetts Institute of Technology 2023. 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
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/*
dc.subjectprobabilityen
dc.subjectstatisticsen
dc.subjectmodelsen
dc.subjectcombinatoricsen
dc.subjectexpectationen
dc.subjectvarianceen
dc.subjectrandom variableen
dc.subjectdiscrete probability distributionen
dc.subjectcontinuous probability distributionen
dc.subjectBayesen
dc.subjectdistributionen
dc.subjectstatistical estimationen
dc.subjectstatistical testingen
dc.subjectconfidence intervalen
dc.subjectlinear regressionen
dc.subjectnormalen
dc.subjectsignificance testingen
dc.subjectbootstrappingen
dc.subject.other270502en
dc.title18.05 Introduction to Probability and Statistics, Spring 2014en
dc.title.alternativeIntroduction to Probability and Statisticsen
dc.audience.educationlevelUndergraduate
dc.date.updated2024-02-09T20:15:56Z


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