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: 15
Average GPA: 3.22 (B+)
Strict A Rate (No A-) : 32.58%
Average Withdrawal Rate: 2.41%
| Dan J Spitzner | 2004 | 31.8% | 18.2% | 36.4% | 9.1% | 4.5% | 0.0% | 2.58 | 1 |
| Marlow Q Lemons | 2012 | 59.6% | 33.2% | 4.1% | 3.1% | 0.0% | 0.0% | 3.48 | 4 |
| Shyam Ranganathan | 2020 | 57.5% | 17.8% | 19.0% | 1.9% | 0.0% | 3.8% | 3.32 | 2 |
| Chen Chen | 2014 | 40.0% | 60.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.39 | 1 |
| Robert B Gramacy | 2019 | 37.7% | 36.6% | 19.4% | 0.0% | 2.8% | 3.6% | 3.08 | 3 |
| Villa Ana Maria Ortega | 2015 | 54.0% | 27.0% | 13.5% | 2.7% | 2.7% | 0.0% | 3.25 | 1 |
| George R Terrell | 2023 | 32.6% | 42.2% | 17.4% | 0.0% | 1.9% | 5.9% | 3.07 | 3 |