18.05 Introduction to Probability and Statistics, Spring 2005

This course provides an elementary introduction to probability and statistics with applications. Topics include: basic probability models; combinatorics; random variables; discrete and continuous probability distributions; statistical estimation and testing; confidence intervals; and an introduction...

Full description

Bibliographic Details
Main Author: Panchenko, Dmitry
Other Authors: Massachusetts Institute of Technology. Department of Mathematics
Format: Learning Object
Language:en-US
Published: 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/96772
_version_ 1826205149912104960
author Panchenko, Dmitry
author2 Massachusetts Institute of Technology. Department of Mathematics
author_facet Massachusetts Institute of Technology. Department of Mathematics
Panchenko, Dmitry
author_sort Panchenko, Dmitry
collection MIT
description This course provides an elementary introduction to probability and statistics with applications. Topics include: basic probability models; combinatorics; random variables; discrete and continuous probability distributions; statistical estimation and testing; confidence intervals; and an introduction to linear regression.
first_indexed 2024-09-23T13:08:31Z
format Learning Object
id mit-1721.1/96772
institution Massachusetts Institute of Technology
language en-US
last_indexed 2025-03-10T11:09:07Z
publishDate 2005
record_format dspace
spelling mit-1721.1/967722025-02-24T15:02:13Z 18.05 Introduction to Probability and Statistics, Spring 2005 Introduction to Probability and Statistics Panchenko, Dmitry Massachusetts Institute of Technology. Department of Mathematics probability models combinatorics random variables discrete probability distributions continuous probability distributions statistical estimation statistical testing confidence intervals linear regression This course provides an elementary introduction to probability and statistics with applications. Topics include: basic probability models; combinatorics; random variables; discrete and continuous probability distributions; statistical estimation and testing; confidence intervals; and an introduction to linear regression. 2005-06 Learning Object 18.05-Spring2005 local: 18.05 local: IMSCP-MD5-3ec4637f71a9fb62f8418834b5d404ea http://hdl.handle.net/1721.1/96772 en-US 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/ text/html Spring 2005
spellingShingle probability models
combinatorics
random variables
discrete probability distributions
continuous probability distributions
statistical estimation
statistical testing
confidence intervals
linear regression
Panchenko, Dmitry
18.05 Introduction to Probability and Statistics, Spring 2005
title 18.05 Introduction to Probability and Statistics, Spring 2005
title_full 18.05 Introduction to Probability and Statistics, Spring 2005
title_fullStr 18.05 Introduction to Probability and Statistics, Spring 2005
title_full_unstemmed 18.05 Introduction to Probability and Statistics, Spring 2005
title_short 18.05 Introduction to Probability and Statistics, Spring 2005
title_sort 18 05 introduction to probability and statistics spring 2005
topic probability models
combinatorics
random variables
discrete probability distributions
continuous probability distributions
statistical estimation
statistical testing
confidence intervals
linear regression
url http://hdl.handle.net/1721.1/96772
work_keys_str_mv AT panchenkodmitry 1805introductiontoprobabilityandstatisticsspring2005
AT panchenkodmitry introductiontoprobabilityandstatistics