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Jun 18, 2025
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AG 596 - Research Methods And Statistics For Agriscience
Synthesizing Regenerative Principles into Practical Applications
Credits: 2
Prerequisites: Faculty consent
Delivery mode: Online
This core course introduces basic principles and statistical applications fundamental to understanding and conducting research on regenerative organic agriculture. This course will introduce and provide practice with 1) formulating hypotheses and designing experiments to confirm or refute them, 2) avoiding pitfalls when producing data, 3) exploring data, 4) fitting models to data-choosing an appropriate data distribution, analyzing data using Excel and either R or SPSS, 5) inference-test of significance, choice of tests, parametric vs non-parametric tests 6) general linear models-ANOVA (analysis of variance), regression, and 7) drawing valid conclusions.
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