Statistics and Visualization for Data Analysis and Inference
RES.9-0002 · Brain and Cognitive Sciences · Graduate · January IAP 2009
Prof. Ed Vul, Prof. Mike Frank
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 persp…
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Prof. Ed Vul, Prof. Mike Frank. RES.9-0002 Statistics and Visualization for Data Analysis and Inference. January IAP 2009. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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