-
-
Courses
Find courses by:
Collections
Cross-Disciplinary Topic Lists
Translated Courses
-
About
-
Donate
-
Featured Sites
Analyzing global data. (Figure by MIT OpenCourseWare.)
A whirl-wind tour of the statistics used in behavioral science research, covering topics including: data visualization, building your own null-hypothesis distribution through permutation, useful parametric distributions, the generalized linear model, and model-based analyses more generally. Familiarity with MATLAB®, Octave, or R will be useful, prior experience with statistics will be helpful but is not essential. This course is intended to be a ground-up sketch of a coherent, alternative perspective to the "null-hypothesis significance testing" method for behavioral research (but don't worry if you don't know what this means).
Vul, Ed, and Mike Frank. RES.9-0002 Statistics and Visualization for Data Analysis and Inference, January IAP 2009. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/resources/res-9-0002-statistics-and-visualization-for-data-analysis-and-inference-january-iap-2009 (Accessed). License: Creative Commons BY-NC-SA
For more information about using these materials and the Creative Commons license, see our Terms of Use.
MIT OpenCourseWare makes the materials used in the teaching of almost all of MIT's subjects available on the Web, free of charge. With more than 2,200 courses available, OCW is delivering on the promise of open sharing of knowledge.
© 2001–2014
Massachusetts Institute of Technology
Your use of the MIT OpenCourseWare site and materials is subject to our Creative Commons License and other terms of use.
