1. Revisions on Descriptive Statistics: classification of variables, sample statistics, graphical representation;
2. Parametric Hypothesis Tests: t-student test (independent and paired samples), variance ratio;
3. Non-Parametric Hypothesis Tests: Chi-square test; Kruskal-Wallis test; Wilcoxon test; Kolmogorov-Smirnov test;
4. Analysis of Variance (ANOVA);
5. Linear Regression.
All topics of the program will be given in a practical perspective, always accompanied with the use of SPSS software for the implementation of the different methods and interpretation of statistical tests in practical examples.