1. Basic statistical terms
2. Set theory – cartesian product, relation, properties of relations
3. Random event and random variable
4. Descriptive and mathematical statistics
5. Exploratory data analysis – graphical techniques and statistical tests
6. Exploratory data analysis – outliers and data transformation
7. Basic statistical characteristics – classical and robust estimators of central tendency and variability
8. Estimators of central tendency and variability for small datasets
9. Interval estimation - confidence interval
10. The significance level
11. Parametric hypothesis tests
12. Nonparametric hypothesis tests
13. Interpolation, extrapolation, approximation
14. Linear regression and correlation analysis
2. Set theory – cartesian product, relation, properties of relations
3. Random event and random variable
4. Descriptive and mathematical statistics
5. Exploratory data analysis – graphical techniques and statistical tests
6. Exploratory data analysis – outliers and data transformation
7. Basic statistical characteristics – classical and robust estimators of central tendency and variability
8. Estimators of central tendency and variability for small datasets
9. Interval estimation - confidence interval
10. The significance level
11. Parametric hypothesis tests
12. Nonparametric hypothesis tests
13. Interpolation, extrapolation, approximation
14. Linear regression and correlation analysis