16.470J Statistical Methods in Experimental Design
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.
16.470J will be offered this semester (Spring 2019). It is instructed by L. A. Stirling.
This class counts for a total of 12 credits. This is a graduate-level class.
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