18.443 Statistics for Applications

Fall 2003

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

Course Highlights

This undergraduate course in Statistics for Applications features lecture notes and assignments.

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.

*Some translations represent previous versions of courses.

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Staff

Instructor:
Prof. Dmitry Panchenko

Course Meeting Times

Lectures:
Three sessions / week
1 hour / session

Level

Undergraduate

*Translations