The purpose of the module is to present the basics of data analysis including: descriptive statistics, graphic methods for the presentation of qualitative and quantitative data, elements of statistical inference. Content: 1. Descriptive statistics: average measures, measures of variability, dispersion, asymmetry, correlation analysis. 2. Graphic methods for the presentation of qualitative and quantitative data: histogram, frequency diagram, scatter plot, box plot. 3. Elements of statistical inference: concepts of the null and alternative hypothesis, significance level and p-value. Selection of test depending on the hypothesis and the data: Student's t test, Wilcoxon test, Friedman test, Kruskal-Wallis test, Fisher test, chi-square test.
- Teacher: Przybyła-Kasperek Małgorzata