16.470J -- Statistical Methods in Experimental Design
Course Description: Statistically based experimental design inclusive of forming hypotheses, planning and conducting experiments, analyzing data, and interpreting and communicating results. Topics include descriptive statistics, statistical inference, hypothesis testing, parametric and nonparametric statistical analyses, factorial ANOVA, randomized block designs, MANOVA, linear regression, repeated measures models, and application of statistical software packages. Alternate years.

This class is at the Graduate level
An example of a syllabus: 16470_2007_syllabus.doc
This course is also known as: ESD.756J
Instructor: M. L. Cummings
Prerequisites: 6.041 or permission of instructor

Insider's Wisdom

The class is appropriate for anyone in any field conducting experiments with accompanying statistical analyses, but it does focus somewhat on running experiments with humans, although not exclusively.

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