STAT 5123: Applied Statistics I
University of North Carolina, Charlotte
Focuses on linear regression. Topics include: parameter estimation, statistical inference, model diagnostics, transformations, leverages and influential points, multicollinearity, dimension reduction techniques, variable selection, categorical predictors, logistic regression.
Average GPA: 3.79
Grade distribution records: 121 students across 10 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 94 | 77.7% |
| B | 20 | 16.5% |
| C | 2 | 1.7% |
| W | 5 | 4.1% |
Based on 121 student grade records across 10 terms and 3 professors.
Instructors
- Eliana Christou 102 students, Average GPA 3.82
- Shaoyu Li 11 students, Average GPA 3.40
- Jiancheng Jiang 8 students, Average GPA 4.00