STAT 225: Multivariate Stat
University of California, Santa Cruz
Introduction to statistical methods for analyzing data sets in which two or more variables play the role of outcome or response. Descriptive methods for multivariate data. Matrix algebra and random vectors. The multivariate normal distribution. Likelihood and Bayesian inferences about multivariate mean vectors. Analysis of covariance structure: principle components, factor analysis. Discriminant, classification and cluster analysis.
Average GPA: 3.25
Grade distribution records: 10 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 1 | 10.0% |
| A- | 1 | 10.0% |
| B | 1 | 10.0% |
| C+ | 1 | 10.0% |
| S | 6 | 60.0% |
Based on 10 student grade records across 1 term and 1 professor.
Instructors
- Ju Hee Lee 10 students, Average GPA 3.25