Quality control of data, construction of histograms and box plots to visualize data.
Parametric test: Student t-test (paired and unpaired), one and two way ANOVA, Repeated measures analysis, post hoc testing, single and multiple linear regression, correlation, discriminant analysis, reliability analysis (intra class correlation coefficient ICC)
Non - parametric tests: Wilcoxon, Mann-Whitney, Kruskal Wallis, Chi square, Friedman, logistic regression, cluster analysis
By means of the Statistics Decicion Tree, the student is guided when to use a specific test for a specific situation.
Students receive classes where the professor demonstrates the "how and why", but most of the time is dedicated to practical sessions where students have to perform individually on computers the requested tests, using SPSS.