STAT-5605: Biometry
Description: 5605: The normal distribution, estimation, hypothesis testing, simple linear regression, and one-way analysis of variance with applications to the biological sciences. 5606: Experimental design, nested and factorial analysis of variance, linear regression and correlation, and the use of SAS, with applications to the biological sciences.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 18
Average GPA: 3.69 (A-)
Strict A Rate (No A-) : 60.63%
Average Withdrawal Rate: 0.00%
| Yili Hong | 2021 | 75.0% | 25.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.75 | 1 |
| Ina Hoeschele | 2023 | 78.0% | 19.5% | 2.1% | 0.0% | 0.3% | 0.0% | 3.76 | 7 |
| Golde I Holtzman | 2013 | 62.5% | 36.6% | 0.9% | 0.0% | 0.0% | 0.0% | 3.64 | 9 |
| Byron H Smith | 2014 | 59.0% | 41.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.59 | 1 |