Advanced Statistical Methods in Agriculture

Catalog description

Students will learn to work with various probability distributions (including F-distribution, Chi-square, t-distribution, standard normal distribution, normal), as well as hypothesis tests, including tests for normality, correlation, advanced regression analysis, CRD, ANOVA, general factorial models, nesting versus crossing, and non-parametric statistics. The course covers commonly used features and advanced statistical analysis using Statistical Analysis System (SAS) programming, including summarizing, combining, visualizing, and analyzing data.