18.443 Statistics for Applications

As taught in: Spring 2009

Linear least squares geometric interpretation.

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




Prof. Richard Dudley

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.

Technical Requirements

Special software is required to use some of the files in this course: .xls.