| 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 | |
