MATH 444: STAT MODELING
California State University, Northridge
Prerequisite: Math 340. This course will cover the fundamental concepts of statistical model building, including inference, applied linear regression, multiple regression, prediction and variable selection, non-linear and non-parametric regression, principal component analysis and factor analysis. Software and coding will be used to apply the theory to examples and real data sets, but no previous coding experience is required.
Average GPA: 2.87
Grade distribution records: 102 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 24 | 23.5% |
| A- | 13 | 12.7% |
| B+ | 9 | 8.8% |
| B | 14 | 13.7% |
| B- | 7 | 6.9% |
| C+ | 12 | 11.8% |
| C | 11 | 10.8% |
| C- | 1 | 1.0% |
| D | 7 | 6.9% |
| F | 4 | 3.9% |
Based on 102 student grade records across 5 terms and 2 professors.
Instructors
- Adriano Zanin Zambom 51 students, Average GPA 3.09
- Ali Sharadqah 22 students, Average GPA 2.64