STAT-4204: Experimental Designs
Description: Fundamental principles of designing and analyzing experiments with application to problems in various subject matter areas. Discussion of completely randomized, randomized complete block, and Latin square designs, analysis of covariance, split--plot designs, factorial and fractional designs, incomplete block designs.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 47
Average GPA: 3.31 (A-)
Strict A Rate (No A-) : 38.47%
Average Withdrawal Rate: 1.13%
| Xinwei Deng | 2022 | 46.5% | 51.7% | 0.7% | 0.0% | 0.0% | 1.1% | 3.42 | 4 |
| Anne R Driscoll | 2022 | 55.8% | 34.8% | 6.1% | 1.5% | 1.2% | 0.7% | 3.44 | 15 |
| Hamdy F Mahmoud | 2024 | 63.2% | 27.9% | 5.7% | 1.0% | 0.9% | 1.2% | 3.51 | 11 |
| Gordon G Vining | 2017 | 36.7% | 39.0% | 16.4% | 0.0% | 2.6% | 5.3% | 3.09 | 3 |
| John P Morgan | 2012 | 34.4% | 34.2% | 23.2% | 4.7% | 3.0% | 0.4% | 2.92 | 8 |
| Jacqueline R Ryan | 2013 | 30.5% | 44.5% | 22.3% | 2.8% | 0.0% | 0.0% | 3.06 | 2 |
| Khaled F Bedair | 2015 | 72.7% | 27.2% | 0.0% | 0.0% | 0.0% | 0.0% | 3.74 | 1 |
| Justin B Loda | 2021 | 75.0% | 12.5% | 0.0% | 0.0% | 12.5% | 0.0% | 3.41 | 1 |
| Stephen C Loftus | 2016 | 33.3% | 16.7% | 33.3% | 5.6% | 5.6% | 5.6% | 2.72 | 1 |
| Ying Liu | 2007 | 44.4% | 38.9% | 13.9% | 2.8% | 0.0% | 0.0% | 3.25 | 1 |