Statistics for Applications OpenCourseWare: A Free Undergraduate Statistics Class by MIT
'Statistics for Applications' is an undergraduate-level mathematics course dwelling on practical uses for statistical methods. This OpenCourseWare class is offered free online by MIT. Much of the material addresses the relationship of statistics to probability, so this course is most beneficial to those students who already have experience with probability theory.
Statistics for Applications: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Undergraduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | Yes |
Statistics for Applications: Course Description
Professor Dmitry Panchenko teaches this course for undergraduate students pursuing bachelor's degrees in Mathematics. 'Statistics for Applications' emphasizes statistical analysis methods and finding relevant applications for these methods to fields outside mathematics. It's best suited for students who have taken one or more courses in probability. Estimators, distribution and regression are the primary topics. Other topics discussed include analysis of variance, hypothesis testing and estimation, chi-square tests, confidence intervals, nonparametric statistics and correlation.
Downloadable PDF files for this class include lecture notes, homework problems and practice exams. If you're interested in taking the online version of this class, visit the applied statistics course page.
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