1. Combinatorics.
2. Random events, operations with them, sample space.
3. Definitions of probability events - classical, geometrical, statistics.
4. Conditional probability, Bayes' theorem.
5. Bernoulli independent repeated trials.
6. Functions of random variables. Moment-generating function, quantiles.
7. Discrete probability distribution.
8. Continuous probability distribution.
9. Statistical methods, descriptive statistics.
10. Observed data. Point estimators, interval estimators.
11. Statistical hypothesis testing – the testing process, interpretation, importance.
13. Correlation and regression analysis.
2. Random events, operations with them, sample space.
3. Definitions of probability events - classical, geometrical, statistics.
4. Conditional probability, Bayes' theorem.
5. Bernoulli independent repeated trials.
6. Functions of random variables. Moment-generating function, quantiles.
7. Discrete probability distribution.
8. Continuous probability distribution.
9. Statistical methods, descriptive statistics.
10. Observed data. Point estimators, interval estimators.
11. Statistical hypothesis testing – the testing process, interpretation, importance.
13. Correlation and regression analysis.