Statistics for Applications

A mathematical formula.

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


MIT Course Number


As Taught In

Fall 2003



Cite This Course

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.

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Dmitry Panchenko. 18.443 Statistics for Applications, Fall 2003. (Massachusetts Institute of Technology: MIT OpenCourseWare), (Accessed). License: Creative Commons BY-NC-SA

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