Statistics for Applications

Plot of data showing four bandwidths: 5, 10, 20, and 40.

Local linear smoothing models of freeway-lane congestion, from Lecture 15. (Image by Dr. Peter J. Kempthorne.)


MIT Course Number


As Taught In

Spring 2015



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Course Description

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.

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Related Content

Peter Kempthorne. 18.443 Statistics for Applications. Spring 2015. Massachusetts Institute of Technology: MIT OpenCourseWare, License: Creative Commons BY-NC-SA.

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