Statistics for Applications

A mathematical formula.

Asymptotic normality of the maximum likelihood estimator. (Image courtesy of Professor Dmitry Panchenko.)

Instructor(s)

MIT Course Number

18.650 / (formerly 18.443)

As Taught In

Fall 2003

Level

Undergraduate

Cite This Course

Course Description

Course Features

Course Description

This course provides a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. The course topics include hypothesis testing and estimation. It also includes confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, and correlation.

Other Versions

Related Content

Dmitry Panchenko. 18.650 Statistics for Applications. Fall 2003. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.


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