18.650 (formerly 18.443) | Fall 2003 | Undergraduate
Statistics for Applications
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 …
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.
Learning Resource Types
notes Lecture Notes
assignment Problem Sets
A mathematical formula.
Asymptotic normality of the maximum likelihood estimator. (Image courtesy of Professor Dmitry Panchenko.)