Syllabus
1. Random sample and its properties.
2. Point and interval estimators and their properties.
3. Parameter estimation methods. Empirical, moment estimators. Maximum likelihood.
4. Theory of hypotheses testing.
5. One-sample and paired methods for continuous data.
6. One-sample methods for discrete data.
7. Two-sample methods for continuous data.
8. Contingency tables.
9. Analysis of variance.
10. Linear regression.
Annotation
Foundations of mathematical statistics for bachelor's students of Financial mathematics.