0 or 3 credits
Spring 2025 Laboratory Lecture Distance Learning Upper Division
Methods of statistical analysis and modeling for data and problems encountered in natural resources conservation, science and management. Emphasis is on application of methods and interpretation of results in the context of natural resource problems. Topics include introductory sampling design, exploratory analyses, general linear models, generalized linear models, introduction to resampling methods, likelihood-based model selection, and model goodness-of-fit.
Learning Outcomes1Describe the importance of proper design and analysis when seeking answers/solutions to a broad array of natural resources issues.
2Independently assess the relative merits of multiple analysis approaches when presented with data collected to improve our understanding of a particular process or pattern in natural resources.
3Fit and evaluate regression models for quantitative and categorical response variables with an appropriate underlying probabilistic structure.
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