DESIGN, ANALYSIS, AND INTERPRETATION OF EXPERIMENTS (agriculture)

California University (US)

Graduate students in agricultural and environmental sciences introduction to research process and statistical methods to plan, conduct, and interpret experiments (SAS used): principles of experimental design, Distributions, sampling, hypothesis testing, sample size Calculation, Fundamentals of ANOVA, Orthogonal contrasts, Mean separation, Blocked & Latin square designs, Transformations, Factorial analysis, Unbalanced designs, Fixed, random, mixed models, Split plot designs & repeated measures, Covariance analysis, Non-parametric methods or review

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