FREC-3214: Forest Biometrics
Description: Statistical and mathematical basis for collecting and analyzing data used to make valid inferences and ethical decisions in applications of forest ecosystem science and management. Principles and practices of forest inventory and probability-based sampling. Computational and mathematical tools for analyzing field data. Statistical summarization, estimation, hypothesis testing, and inference from data collected in forest inventories.
Pathways: 5A Quant & Comp Thnk Adv., 10 Ethical Reasoning
Course Hours: 3 credits
Corequisites: FREC-3224
Crosslist: N/A
Repeatability: N/A
Sections Taught: 6
Average GPA: 2.77 (rounds to B-)
Strict A Rate (No A-) : 21.00%
Average Withdrawal Rate: 3.60%
| Patrick C Green | 2024 | 29.2% | 35.5% | 13.8% | 17.5% | 2.4% | 1.5% | 2.67 | 3 |
| Philip J Radtke | 2021 | 36.5% | 29.9% | 25.1% | 6.0% | 0.0% | 2.6% | 3.06 | 2 |
| Harold E Burkhart | 2019 | 11.7% | 29.5% | 29.5% | 17.6% | 0.0% | 11.8% | 2.52 | 1 |