| dc.contributor.author | Ansolabehere, Stephen | |
| dc.coverage.temporal | Spring 2004 | |
| dc.date.accessioned | 2023-10-16T21:34:00Z | |
| dc.date.available | 2023-10-16T21:34:00Z | |
| dc.date.issued | 2004-06 | |
| dc.identifier | 17.872-Spring2004 | |
| dc.identifier.other | 17.872 | |
| dc.identifier.other | IMSCP-MD5-e74f18086b26a9f89f83a1cb1ca614cb | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/152441 | |
| dc.description.abstract | This course provides students with a rigorous introduction to Statistics for Political Science. Topics include basic mathematical tools used in social science modeling and statistics, probability theory, theory of estimation and inference, and statistical methods, especially differences of means and regression. The course is often taken by students outside of political science, especially those in business, urban studies, and various fields of public policy, such as public health. Examples draw heavily from political science, but some problems come from other areas, such as labor economics. | en |
| dc.language.iso | en-US | |
| 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 | mathematical economics | en |
| dc.subject | quatitative research | en |
| dc.subject | political science | en |
| dc.subject | public policy | en |
| dc.subject | modeling | en |
| dc.subject | probability theory | en |
| dc.subject | estimation | en |
| dc.subject | inference | en |
| dc.subject | analytical methods | en |
| dc.subject | regression | en |
| dc.subject | statistical means | en |
| dc.subject | labor | en |
| dc.subject | public health | en |
| dc.title | 17.872 Quantitative Research in Political Science and Public Policy, Spring 2004 | en |
| dc.title.alternative | Quantitative Research in Political Science and Public Policy | en |
| dc.audience.educationlevel | Graduate | |
| dc.subject.cip | 440501 | en |
| dc.subject.cip | Public Policy Analysis | en |
| dc.date.updated | 2023-10-16T21:34:10Z | |
