| 1 | 1. Introduction to statistics, basic concepts, presentation and summarizing of data, descriptive statistics ( measures of central tendency and dispersion) |
| 2 | 2. Population distributions (binomial, poison, normal), concept of probability will be toughed. |
| 3 | 3. Statistical inference; estimation of confidence interval by z, t and chi-square distribution will be covered. |
| 4 | 4. Statistical hypotheses tests (z distribution, student t distribution and chi-square distribution, relationship between variables (regression and correlation analysis). |