ESPM 173: Introduction to Ecological Data Analysis
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.
Course Semester:
Spring 2026
Department:
ESPM
Course Type:
Lab
Course Units:
3