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.)

Instructor(s)

MIT Course Number

18.443

As Taught In

Spring 2015

Level

Undergraduate

Cite This Course

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.

Other Versions

Related Content

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


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