Statistics@MIT
7.410 -- Applied Statistics
Course Description: Applied statistics covers probability and distributions (normal binomial, poisson, exponential, lognormal, and uniform), estimation and hypothesis testing, parametric and nonparametric one-sample and two-sample tests of means, analysis of variance for crossed and nested designs, linear and multiple regression with residual analysis, correlation and discrete data analysis using chi-squared tests. Discussion of experimental and sampling designs are included. Examples use data from biological studies.

This class is at the Graduate level
Instructor: V. Starczak

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