16.470J Statistical Methods in Experimental Design


Class Info

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.

This class has 6.041, and 16.09 as prerequisites.

16.470J will be offered this semester (Spring 2018). It is instructed by L. A. Stirling.

This class counts for a total of 12 credits. This is a graduate-level class.

In the Spring 2014 Subject Evaluations, 16.470J was rated 5.8 out of 7.0. You can find more information at the Statistics at MIT - Classes site.

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