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9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004

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dc.contributor.author Rosenholtz, Ruth
dc.coverage.temporal Spring 2004
dc.date.accessioned 2017-10-30T06:10:32Z
dc.date.available 2017-10-30T06:10:32Z
dc.date.issued 2004-06
dc.identifier 9.07-Spring2004
dc.identifier.other 9.07
dc.identifier.other IMSCP-MD5-ffa39a46459f8b269ab027edc66f4a40
dc.identifier.uri http://hdl.handle.net/1721.1/111990
dc.description.abstract 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. en
dc.language.iso en-US
dc.rights 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. en
dc.rights Attribution-NonCommercial-ShareAlike 3.0 Unported *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/ *
dc.subject statistics en
dc.subject standard deviation en
dc.subject ANOVA en
dc.subject variance en
dc.subject chi squared en
dc.subject mean en
dc.subject median en
dc.subject spread en
dc.subject graphs en
dc.subject histograms en
dc.subject binomial distribution en
dc.subject random variables en
dc.subject sampling en
dc.subject experimental design en
dc.subject probability en
dc.subject confidence intervals en
dc.subject error bars en
dc.subject best fit en
dc.subject hypothesis testing en
dc.subject linear regression en
dc.subject regression en
dc.subject correlation en
dc.subject categorical data en
dc.title 9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004 en
dc.title.alternative Statistical Methods in Brain and Cognitive Science en
dc.audience.educationlevel Undergraduate
dc.subject.cip 261102 en
dc.subject.cip Biostatistics en
dc.date.updated 2017-10-30T06:10:34Z


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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. Except where otherwise noted, this item's license is described as 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.
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