1. Combinatorics
2. Introduction to probability
3. Conditional probability and independent events. Bayes' theorem. Theorem of total probability.
4. Random variable and its characteristics
5.-7. The basic distributions of discrete and continuous random variable
8. Statistical file with one factor
9. Regression and correlation
10. Point and interval estimates of parameters
11.-12. Hypothesis testing
13. Reserve
2. Introduction to probability
3. Conditional probability and independent events. Bayes' theorem. Theorem of total probability.
4. Random variable and its characteristics
5.-7. The basic distributions of discrete and continuous random variable
8. Statistical file with one factor
9. Regression and correlation
10. Point and interval estimates of parameters
11.-12. Hypothesis testing
13. Reserve