Experimental Statistics

Credits: 6

Responsible: Prof. PhD. Rodrigo Gazaffi

Summary: General Statistics Review - Random variation and introduction to the R software; Experimental Planning; Completely Randomized Designs (F Test, Multiple Comparison Methods, Mathematical Model Assumptions, Data Transformation); Randomized Block Designs; Factorial Experiments; Experiments in Split Plots and Strip Plots; Federer Block Design; Lattice design and alpha design; Analysis of experiment groups; Regression analysis and response surface; Analysis of Covariance; Non-parametric statistics; Multivariate analysis of variance.