1. Combinatorics
2. Introduction to probability theory
3. Conditional probability and independent phenomena. Bayes theorem. Complete probability theorem
4. Random variable and its characteristics
5.-7. Basic types of distribution of discrete and continuous random variables
8. Random vector
9. Statistical file with one argument
10. Statistical file with two arguments
11. Regression and correlation
12. Point and interval estimates of parameters
13. Testing hypotheses
14. Reserve - Examples.
2. Introduction to probability theory
3. Conditional probability and independent phenomena. Bayes theorem. Complete probability theorem
4. Random variable and its characteristics
5.-7. Basic types of distribution of discrete and continuous random variables
8. Random vector
9. Statistical file with one argument
10. Statistical file with two arguments
11. Regression and correlation
12. Point and interval estimates of parameters
13. Testing hypotheses
14. Reserve - Examples.