| dc.contributor.author | Orloff, Jeremy | |
| dc.contributor.author | Bloom, Jonathan | |
| dc.coverage.temporal | Spring 2014 | |
| dc.date.accessioned | 2025-12-16T05:55:09Z | |
| dc.date.available | 2024-02-09T20:15:09Z | |
| dc.date.available | 2025-12-16T05:55:09Z | |
| dc.date.issued | 2014-06 | |
| dc.identifier.other | 18.05 | |
| dc.identifier.other | IMSCP-MD5-a65388e15b885e07a72ceecdbfc7110a | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/153490.2 | |
| dc.description.abstract | This 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_US |
| dc.relation.isbasedon | http://hdl.handle.net/1721.1/96772 | |
| dc.rights | This 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.rights | Attribution-NonCommercial-ShareAlike 3.0 Unported | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | * |
| dc.subject | probability | en_US |
| dc.subject | statistics | en_US |
| dc.subject | models | en_US |
| dc.subject | combinatorics | en_US |
| dc.subject | expectation | en_US |
| dc.subject | variance | en_US |
| dc.subject | random variable | en_US |
| dc.subject | discrete probability distribution | en_US |
| dc.subject | continuous probability distribution | en_US |
| dc.subject | Bayes | en_US |
| dc.subject | distribution | en_US |
| dc.subject | statistical estimation | en_US |
| dc.subject | statistical testing | en_US |
| dc.subject | confidence interval | en_US |
| dc.subject | linear regression | en_US |
| dc.subject | normal | en_US |
| dc.subject | significance testing | en_US |
| dc.subject | bootstrapping | en_US |
| dc.subject.other | 270502 | en |
| dc.title | 18.05 Introduction to Probability and Statistics, Spring 2014 | en_US |
| dc.title.alternative | Introduction to Probability and Statistics | en_US |
| dc.type | Learning Object | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mathematics | en_US |
| dc.audience.educationlevel | Undergraduate | en_US |
| dc.date.updated | 2024-02-09T20:15:56Z | |
