Meeting student needs for multivariate data analysis: a case study in teaching an undergraduate multivariate data analysis course
Amherst College Digital Collections > The Octagon
| Creator | Wagaman, Amy S. (Department of Mathematics and Statistics, Amherst College) |
|---|---|
| Title | Meeting student needs for multivariate data analysis: a case study in teaching an undergraduate multivariate data analysis course |
| Abstract | Modern students encounter large, messy data sets long before setting foot in our classrooms. Many of these students need to develop skills in exploratory data analysis and multivariate analysis techniques for their jobs after college, but such topics are not covered in traditional introductory statistics courses. This case study describes my experience in designing and teaching an undergraduate course on multivariate data analysis with minimal pre-requisites, using real data, active learning, and other interactive activities to help students tackle the material. Multivariate topics covered include clustering and classification (among others) for exploratory data analysis and an introduction to algorithmic modeling. |
| Journal Title | The American Statistician |
| Publication Date | June 27, 2016 |
| Identifier (DOI) | 10.1080/00031305.2016.1201005 |
| Citation | Wagaman, Amy S. “Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching a Multivariate Data Analysis Course.” The American Statistician, in press (2016). |
| Languages | English |
| Genre | Software or Program Code |
| Subject | Statistics--Study and teaching |
| Subject | Multivariate analysis |
| Part of | The Amherst College Octagon |
| Repository | The Amherst College Octagon |
| Access and Use | Creative Commons Attribution-NonCommercial-NoDerivatives license (CC BY NC ND 4.0) |