Descriptive statistics, data preprocessing, discretize continuous data. Hypothesis testing - continuous and discrete variables. Regression and correlation analysis. Multivariable methods - multiple regression analysis, logistic regression analysis, ROC curve, MANOVA, PCA, Factor analysis. Power analysis, preparation, processing and evaluation of hte experiment.
Objectives:
To teach students the statistical processing of data, the choice of the correct processing procedure and the following evaluation of the obtained data, including adequate graphical outputs and the defense of the chosen procedure.