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.)

Instructor(s)

MIT Course Number

18.443

As Taught In

Spring 2009

Level

Undergraduate

Cite This Course

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.

Other OCW Versions

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Dudley, Richard. 18.443 Statistics for Applications, Spring 2009. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/mathematics/18-443-statistics-for-applications-spring-2009 (Accessed). License: Creative Commons BY-NC-SA


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