GRAD 6100: Basic Statistics & Probability
University of North Carolina, Charlotte
Basic statistics and probability theory that prepares students for linear regression.� Students are expected to learn SAS, STATA, and R during the course of the semester by participating in modules offered by Project Mosaic.� By the end of the semester, students should know the steps that need to be taken to clean data prior to analysis, strategies for combining data, basic descriptive statistics.� They will also understand sampling theory, inferential statistics, and sampling distributions.
Average GPA: 3.71
Grade distribution records: 153 students across 10 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 106 | 69.3% |
| B | 40 | 26.1% |
| C | 1 | 0.7% |
| W | 4 | 2.6% |
Based on 153 student grade records across 10 terms and 3 professors.
Instructors
- Stephanie Smith 70 students, Average GPA 3.84
- Yang Cao 57 students, Average GPA 3.55
- Joseph Dippong 26 students, Average GPA 3.73