STAT 3160: Applied Multivariate Analysis
University of North Carolina, Charlotte
Introduction to the fundamental ideas in multivariate analysis using case studies. Descriptive, exploratory, and graphical techniques; introduction to cluster analysis, principal components, factor analysis, discriminant analysis, Hotelling T2 and other methods.
Average GPA: 2.70
Grade distribution records: 378 students across 11 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 109 | 28.8% |
| B | 108 | 28.6% |
| C | 89 | 23.5% |
| D | 27 | 7.1% |
| F | 25 | 6.6% |
| W | 20 | 5.3% |
Based on 378 student grade records across 11 terms and 5 professors.
Instructors
- Weihua Zhou 262 students, Average GPA 2.60
- Jiancheng Jiang 56 students, Average GPA 2.88
- Hee Cheol Chung 32 students, Average GPA 2.97
- Yang Li 17 students, Average GPA 3.38
- Jacek Dmochowski 11 students, Average GPA 2.60