18.650 (formerly 18.443) | Spring 2015 | Undergraduate

Statistics for Applications

Course Description

This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian …
This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian statistics.
Learning Resource Types
Lecture Notes
Projects
Problem Sets
Problem Set Solutions
Plot of data showing four bandwidths: 5, 10, 20, and 40.
Local linear smoothing models of freeway-lane congestion, from Lecture 15. (Image by Dr. Peter J. Kempthorne.)