Introduces concepts and methods for practical analysis of data from ecology and related disciplines. Topics include data summaries, distributions, and probability; comparison of data groups using t-tests and analysis of variance; comparison of multi-factor groups using analysis of variance; evaluation of continuous relationships between variables using regression and correlation; and a glimpse at more advanced topics. In computer laboratories, students put concepts into practice and interpret results.
Details
- Department: Environmental Science, Policy, and Management (ESPM)
- Units: 3
- Prerequisites: None
- Tools:
- Cluster(s): Social Science Biological Science
- Tags: Applied