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Statistics for Applications

Linear least squares geometric interpretation.

Geometric interpretation of the solution of a linear system in a least squares sense. (Image courtesy of Oleg Alexandrov.)


MIT Course Number


As Taught In

Spring 2009



Course Features

Course Description

This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian statistics.

Note: Please see the syllabus for a description of the different versions of 18.443 taught at MIT.

Richard Dudley. 18.443 Statistics for Applications, Spring 2009. (Massachusetts Institute of Technology: MIT OpenCourseWare), (Accessed). License: Creative Commons BY-NC-SA

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