17.872 Quantitative Research in Political Science and Public Policy, Spring 2004
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...
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| Formato: | Learning Object |
| Idioma: | en-US |
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2023
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| Acesso em linha: | https://hdl.handle.net/1721.1/152441 |
| _version_ | 1826216168942206976 |
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| author | Ansolabehere, Stephen |
| author2 | Massachusetts Institute of Technology. Department of Political Science |
| author_facet | Massachusetts Institute of Technology. Department of Political Science Ansolabehere, Stephen |
| author_sort | Ansolabehere, Stephen |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:43:03Z |
| format | Learning Object |
| id | mit-1721.1/152441 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2025-03-10T14:04:16Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | mit-1721.1/1524412025-02-21T18:52:25Z 17.872 Quantitative Research in Political Science and Public Policy, Spring 2004 Quantitative Research in Political Science and Public Policy Ansolabehere, Stephen Massachusetts Institute of Technology. Department of Political Science mathematical economics quatitative research political science public policy modeling probability theory estimation inference analytical methods regression statistical means labor public health 440501 Public Policy Analysis 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. 2023-10-16T21:34:00Z 2023-10-16T21:34:00Z 2004-06 2023-10-16T21:34:10Z Learning Object 17.872-Spring2004 17.872 IMSCP-MD5-e74f18086b26a9f89f83a1cb1ca614cb https://hdl.handle.net/1721.1/152441 en-US 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. 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| spellingShingle | mathematical economics quatitative research political science public policy modeling probability theory estimation inference analytical methods regression statistical means labor public health 440501 Public Policy Analysis Ansolabehere, Stephen 17.872 Quantitative Research in Political Science and Public Policy, Spring 2004 |
| title | 17.872 Quantitative Research in Political Science and Public Policy, Spring 2004 |
| title_full | 17.872 Quantitative Research in Political Science and Public Policy, Spring 2004 |
| title_fullStr | 17.872 Quantitative Research in Political Science and Public Policy, Spring 2004 |
| title_full_unstemmed | 17.872 Quantitative Research in Political Science and Public Policy, Spring 2004 |
| title_short | 17.872 Quantitative Research in Political Science and Public Policy, Spring 2004 |
| title_sort | 17 872 quantitative research in political science and public policy spring 2004 |
| topic | mathematical economics quatitative research political science public policy modeling probability theory estimation inference analytical methods regression statistical means labor public health 440501 Public Policy Analysis |
| url | https://hdl.handle.net/1721.1/152441 |
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