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