STAT-5606: 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. Knowledge of CMS required.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 3
Average GPA: 3.70 (rounds to A-)
Strict A Rate (No A-) : 65.70%
Average Withdrawal Rate: 0.00%
| Yili Hong | 2024 | 84.5% | 15.5% | 0.0% | 0.0% | 0.0% | 0.0% | 3.76 | 2 |
| Eric P Smith | 2019 | 90.0% | 0.0% | 0.0% | 0.0% | 10.0% | 0.0% | 3.60 | 1 |