Laboratory and classroom exercises often discuss methods and techniques for measuring population variables, e.g., response curves, density functions. Students in upper level classes are expected to have some basic understanding of statistics and experimental design, and they are taught ways to apply those principles to the subject at hand. For example, forestry students are instructed in stand-inventory measurement data analysis and interpretation. Dairy Science students discuss measurements of milk production rates under different herd management regimes. Small grain classes discuss production per acre under different soil fertility conditions and rotations.



laboratory exercises, water quality, simulated

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