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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