9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004
This course emphasizes statistics as a powerful tool for studying complex issues in behavioral and biological sciences, and explores the limitations of statistics as a method of inquiry. The course covers descriptive statistics, probability and random variables, inferential statistics, and basic iss...
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| Format: | Learning Object |
| Language: | en-US |
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2017
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| Online Access: | http://hdl.handle.net/1721.1/111990 |
| _version_ | 1826207371464015872 |
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| author | Rosenholtz, Ruth |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Rosenholtz, Ruth |
| author_sort | Rosenholtz, Ruth |
| collection | MIT |
| description | This course emphasizes statistics as a powerful tool for studying complex issues in behavioral and biological sciences, and explores the limitations of statistics as a method of inquiry. The course covers descriptive statistics, probability and random variables, inferential statistics, and basic issues in experimental design. Techniques introduced include confidence intervals, t-tests, F-tests, regression, and analysis of variance. Assignments include a project in data analysis. |
| first_indexed | 2024-09-23T13:48:17Z |
| format | Learning Object |
| id | mit-1721.1/111990 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2025-03-10T11:44:26Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | mit-1721.1/1119902025-02-26T19:08:14Z 9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004 Statistical Methods in Brain and Cognitive Science Rosenholtz, Ruth Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences statistics standard deviation ANOVA variance chi squared mean median spread graphs histograms binomial distribution random variables sampling experimental design probability confidence intervals error bars best fit hypothesis testing linear regression regression correlation categorical data 261102 Biostatistics This course emphasizes statistics as a powerful tool for studying complex issues in behavioral and biological sciences, and explores the limitations of statistics as a method of inquiry. The course covers descriptive statistics, probability and random variables, inferential statistics, and basic issues in experimental design. Techniques introduced include confidence intervals, t-tests, F-tests, regression, and analysis of variance. Assignments include a project in data analysis. 2017-10-30T06:10:32Z 2017-10-30T06:10:32Z 2004-06 2017-10-30T06:10:34Z Learning Object 9.07-Spring2004 9.07 IMSCP-MD5-ffa39a46459f8b269ab027edc66f4a40 http://hdl.handle.net/1721.1/111990 en-US This site (c) Massachusetts Institute of Technology 2017. 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. Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ text/html Spring 2004 |
| spellingShingle | statistics standard deviation ANOVA variance chi squared mean median spread graphs histograms binomial distribution random variables sampling experimental design probability confidence intervals error bars best fit hypothesis testing linear regression regression correlation categorical data 261102 Biostatistics Rosenholtz, Ruth 9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004 |
| title | 9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004 |
| title_full | 9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004 |
| title_fullStr | 9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004 |
| title_full_unstemmed | 9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004 |
| title_short | 9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004 |
| title_sort | 9 07 statistical methods in brain and cognitive science spring 2004 |
| topic | statistics standard deviation ANOVA variance chi squared mean median spread graphs histograms binomial distribution random variables sampling experimental design probability confidence intervals error bars best fit hypothesis testing linear regression regression correlation categorical data 261102 Biostatistics |
| url | http://hdl.handle.net/1721.1/111990 |
| work_keys_str_mv | AT rosenholtzruth 907statisticalmethodsinbrainandcognitivesciencespring2004 AT rosenholtzruth statisticalmethodsinbrainandcognitivescience |