STAT-3504: Nonparametric Statistics
Description: Statistical methodology based on ranks, empirical distributions, and runs. One and two sample tests, ANOVA, correlation, goodness of fit, and rank regression, R-estimates and confidence intervals. Comparisons with classical parametric methods. Emphasis on assumptions and interpretation.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 7
Average GPA: 3.24 (rounds to B+)
Strict A Rate (No A-) : 32.15%
Average Withdrawal Rate: 4.45%
| Robert B Gramacy | 2019 | 48.6% | 22.9% | 20.0% | 0.0% | 2.8% | 5.7% | 3.15 | 1 |
| George R Terrell | 2023 | 32.6% | 42.2% | 17.4% | 0.0% | 1.9% | 5.9% | 3.07 | 3 |
| Jyotishka Datta | 2024 | 77.2% | 13.5% | 9.0% | 0.0% | 0.0% | 0.0% | 3.68 | 1 |
| Shyam Ranganathan | 2020 | 57.5% | 17.8% | 19.0% | 1.9% | 0.0% | 3.8% | 3.32 | 2 |