R: LIND, D., MARCHAL, W., WATHEN, S. Statistical Techniques in Business and Economics, (16th Edition). McGraw-Hill Education 2015. ISBN-13: 978-0078020520.

R: TRIOLA, M., F. Essentials of Statistics (5th Edition). Pearson Education 2015. ISBN-13: 978-0321924599.

R: LEVINE, SZABAT, STEPHAN (2016), Business Statistics: A First Course. New York: Pearson Global Edition.

R: STUDENMUND, A.H. Using econometrics: A practical guide. New York: Pearson Global Edition, 2017. ISBN: 978-01-3136773-9.

A: ZÁŠKODNÝ, Přemysl (2012), The Principles of Probability and Statistics (Data Mining Approach). Praha: Curriculum.

A: SALKIND, N.J. Excel Statistics. Sage Publications, 2015.

Z: BUDÍKOVÁ, M., KRÁLOVÁ, M., MAROŠ, B. Průvodce statistickými metodami. Praha: Grada Publishing, 2010.

D: HEBÁK, P., HUSTOPECKÝ, J. Vícerozměrné statistické metody 1. Praha: Informatorium. 2006.

D: HEBÁK, P., HUSTOPECKÝ, J., MALÁ, I. Vícerozměrné statistické metody 2. Praha: Informatorium. 2005.

D: HINDLS, R. a kol. Statistika pro ekonomy. Praha: Profesional Publishing. 2007.

1. Basic statistics and probability – review

2. Basic parametric tests

3. Basic non-parametric tests

4. Normality test - Chi squared test, Shapiro-Wilk test, Kolmogorov-Smirnov test

5. Categorical variable – analysis

6. Association between ordinal and nominal variables– contingency table, chi squared test of independence

7. Analysis of variance I – one -way ANOVA a Kruskal Walis test

8. Correlation analysis - graphical methods, Person and Spearman correlation coefficient

9. Correlation analysis – biserial and tetrachoric correlation

10. Correlation analysis (multivariate) - multiple and partial correlation

11. Methods of multivariate analysis - cluster analysis, factor analysis, principal component analysis

12. Regression analysis I - simple linear regression model, tests of significance of coefficients, F-test, coefficient of determination

13. Regression analysis II - nonlinearities in simple regression model (logarithmic transformations, polynomials)

14. Final recap

Credit can be awarded to student based on his participation in practical exercises and submitted homework during the semester. Alternatively student can pass a test at the end of the semester, with minimum required score of 60%. The minimum required attendance rate to seminars is 75%. The details will be agreed upon with the seminar instructor at the beginning of the semester.

A credit is required to allow a student to take the final exam. The final exam will cover both, the theory and the practical exercises. The exam will be in written form but can be complemented by oral examination.

Zápočet: aktivní účast na cvičeních, zpracování korespondenčních úkolů, závěrečné zápočtové písemné práce

Zkouška: písemná - část teoretická a část praktická