Preparation of two semester assignments.

The exam is written.
In the first part, the student solves 4 examples in 80 minutes. In the second part of the exam, the student works out answers to 3 theoretical questions within 15 minutes.

The mark, corresponding to the total (max. 100 points), which consists of:
- the points for the semester assignments (max. 40 points),
- the results of the solved examples (max. 51 points),
- the quality of the answers to the theoretical questions (max. 9 points).

Grades and corresponding points:
A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).

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Students will obtain basic knowledge and skills of point and interval estimates, the most used parametric and nonparametric tests, good fit tests, an analysis of variance, a categorial analysis, linear and nonlinear multiple regression models and time series analysis.

Topics lectures are as follows:
1. Basic concepts of statistical testing.
2. Parametric statistical tests – t-test.
3. Parametric statistical tests – two sample t-test and F-test.
4. Kolmogorov-Smirnov test, Pearson test and Shapiro-Wilk test.
5. Analysis of variance (ANOVA).
6. Nonparametric statistical tests – Sign test, Wilcoxon rank sum test.
7. Nonparametric statistical tests - Kruskal-Wallis test, Median test, Spearman's correlation coefficient.
8. Categorical analysis – contingency table and Chi square test.
9. Univariate regression model.
10. Multivariate regression models.
11. The release of the classical assumptions – heteroscedasticity, multicollinearity and autocorrelation of random components.
12. Nonlinear regression models.
13. Time series analysis.

• Programme MGR-UFRP-KS Master's 1 year of study, winter semester, compulsory