STAT-4504: Applied Multivariate Analysis
Description: Non-mathematical study of multivariate analysis. Multivariate analogs of univariate test and estimation procedures. Simultaneous inference procedures. Multivariate analysis of variance, repeated measures, inference for dispersion and association parameters, principal components analysis, discriminate analysis, cluster analysis. Use of SAS.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 16
Average GPA: 3.51 (A-)
Strict A Rate (No A-) : 53.92%
Average Withdrawal Rate: 2.73%
| Feng Guo | 2023 | 60.1% | 33.4% | 5.6% | 0.0% | 0.0% | 0.8% | 3.57 | 7 |
| Hongxiao Zhu | 2012 | 40.0% | 20.0% | 20.0% | 20.0% | 0.0% | 0.0% | 2.92 | 1 |
| Sara K Harrell | 2010 | 88.9% | 0.0% | 0.0% | 0.0% | 0.0% | 11.1% | 4.00 | 1 |
| Inyoung Kim | 2013 | 61.6% | 15.4% | 0.0% | 7.7% | 0.0% | 15.4% | 3.52 | 1 |
| Eric P Smith | 2015 | 60.5% | 29.1% | 5.8% | 1.3% | 1.3% | 1.9% | 3.48 | 4 |
| Gordon G Vining | 2024 | 31.8% | 49.9% | 9.0% | 4.5% | 4.5% | 0.0% | 3.01 | 1 |
| Xinwei Deng | 2022 | 88.9% | 7.3% | 0.0% | 0.0% | 0.0% | 3.7% | 3.81 | 1 |