MIT OpenCourseWare | Mathematics | 18.441 Statistical Inference, Spring 2002


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18.441 Statistical Inference, Spring 2002

Graph showing the leverage quantifies the potential influence of a response variable on the slope of the least-squares line, as a function of a predictor variable.

The "leverage" quantifies the potential influence of a "response variable" on the slope of the least-squares line, as a function of a "predictor variable". It is the square of the correlation between the response variable and the slope when the predictor variable is held constant. (Image by Dr. Michael Hardy.)

Highlights of this Course

This undergraduate course in statistical inference features lecture notes, assignments, exams, and study materials.

Course Description

Reviews probability and introduces statistical inference. Point and interval estimation. The maximum likelihood method. Hypothesis testing. Likelihood-ratio tests and Bayesian methods. Nonparametric methods. Analysis of variance, regression analysis and correlation. Chi-square goodness of fit tests. More theoretical than 18.443 (Statistics for Applications) and more detailed in its treatment of statistics than 18.05 (Introduction to Probability and Statistics).

Staff

Instructor:
Dr. Michael Hardy

Course Meeting Times

Lectures:
Three sessions / week
1 hour / session

Level

Undergraduate

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