Translations*
Archived Versions

14.30 Introduction to Statistical Method in Economics

As taught in: Spring 2006

The course covers elements of probability theory, sampling theory, statistical estimation, regression analysis, and hypothesis testing.

Diagram showing the difference between statistics and probability. (Image by MIT OpenCourseWare. Based on Gilbert, Norma. Statistics. Philadelphia, PA: W. B. Saunders Co., 1976. ISBN: 072164127X.)

Level:

Undergraduate

Instructors:

Herman Bennett

Course Features

Course Description

This course is a self-contained introduction to statistics with economic applications. Elements of probability theory, sampling theory, statistical estimation, regression analysis, and hypothesis testing. It uses elementary econometrics and other applications of statistical tools to economic data. It also provides a solid foundation in probability and statistics for economists and other social scientists. We will emphasize topics needed in the further study of econometrics and provide basic preparation for 14.32. No prior preparation in probability and statistics is required, but familiarity with basic algebra and calculus is assumed.


*Some translations represent previous versions of courses.