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
assignment_turned_in Problem Sets with Solutions
notes Lecture Notes
group_work Projects
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.)