Entering the data collected to the computer, organizing and getting data ready for statistical analyses; normal distribution and sampling distribution of the mean; establishing confidence intervals; writing research questions, research hypotheses, null hypotheses; hypothesis testing. Descriptive statistics: Measures of central tendency and position measurements (arithmetic mean, median, peak, percentile and quartile); measures of variability (distribution width, variance, standard deviation); display of data. Inferential statistics: t-test applications (single-sample t-test, independent samples t-test, dependent samples t-test), analysis of variance applications (one-way ANOVA, two-way ANOVA, MANOVA, ANCOVA); correlations (Pearson and Spearman correlation coefficients), partial correlation; multiple linear regression; exploratory and confirmatory factor analyses; reliability; non-parametric tests (Wilcoxon signed rank test, Mann-Whitney U test, Kruskal-Wallis test, Chi-Square tests); interpreting and writing results of analyses.