EVSC 5040
Messy Data: Statistical Methods in Ecology and Environmental Sciences
Course Description
Pre-Requisite(s):
1 statistics course + 1 R programming course, or equivalent experience
Robust data are a cornerstone for scientific understanding and solutions to environmental problems, but real data are often messy, failing assumptions of classical statistics and challenging clear interpretation. Using R, students will develop a modern statistical toolbox and learn to match appropriate analyses with many common types of imperfect, complex data.
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