1. Design of research - sample methods, research hypothesis, sample size.
2. Data collections, creating a data file and entering data in SPSS or R, describing data sets, missing data, modyfying a data file, transforming variables.
3. Descriptive statistics, exploratory analysis, tables, graphs.
4. Principle of table and graphs creating with respect to their presentation.
5. Hypothesis testing on probability distribution.
6. Tests of independence of nominal variables.
7. Tests of independence of continuous variable, correlation, regression.
8. Comparing groups, independent samples, paired samples.
9. One-sided dependence, logistic regression.
10. Output processing, pivoting tables, editing charts and graphs, exporting of outputs to another programs.
2. Data collections, creating a data file and entering data in SPSS or R, describing data sets, missing data, modyfying a data file, transforming variables.
3. Descriptive statistics, exploratory analysis, tables, graphs.
4. Principle of table and graphs creating with respect to their presentation.
5. Hypothesis testing on probability distribution.
6. Tests of independence of nominal variables.
7. Tests of independence of continuous variable, correlation, regression.
8. Comparing groups, independent samples, paired samples.
9. One-sided dependence, logistic regression.
10. Output processing, pivoting tables, editing charts and graphs, exporting of outputs to another programs.