1.Elements of probability. The axioms of the probability theory

2. Random  variables and their distributions. Discrete and continuous random variables

3. Parameters of random variables: expected value, moments

4. Selected distributions of random variables (Bernoulli, Poison, Gaussian)

5.The distribution in the sample. Visualisation by histograms

6. Measures of statistical location: arithmetic mean, median, quantiles.

7. Measures of dispersion (variance, standard deviation, coefficient of variation

8. Measures of skewness and concentration.

9.. Measures of economic inequality (Gini, Pietra)

10. Two-dimensional random variables; and their parameters. Pearson’s coefficients of correlation

11. Correlation between qualitative variables. Spearman’s coefficient of correlation.

12. The regression: function for two variables

13. Multivariate regression function

14. Statistical indices (aggregate indices price, volume and value. (Laspeyres, Paasche and Fisher )

15. Classical analysis of time series (Census I method).