Czech

Not applicable.

Fundamentals of probability theory and fundamentals of mathematical statistics

(theory of probability: random events, classical probability, conditional probability;

discret and continuous random variables: distribution function, density, Binomical and Poisson distribution, normal distribution;

estimation of confidence interval , hypothesis testing)

in case of full-time (contact) teaching:
CREDIT: Credit is awarded on the basis of:
- points for tests
- tests cannot be repeated
EXAM: The exam is written, it consists of theory (time about 20 minutes)
The grades, corresponding to the sum (max. 100 points), consists of:
- points for tests (30 + 30 + 25 for 3 tests)
- points for the exam (15 points)
- there is a requirement for a minimum score for the test
Marks and corresponding points:
A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0)

In the case of distance learning:
- credit and exam will be solved on the basis of how long the full-time form of teaching will be maintained
- the effort will be that it is possible to carry out credit tests in person at the faculty (even if the teaching takes place online), even within one day at the end of the semester
- if the exam and credit tests had to be distance, then probably 1 comprehensive credit test would take place and then an oral exam via Microsoft Teams



Attendance at lectures is not mandatory, but it is recommended. Attendance at seminars is not mandatory, but recommended. Due to the low number of students, lectures and exercises will be strongly intertwined.

The objective of the course is to make students familiar with the fundamental ideas and methods used by these mathematical disciplines which enable students to apply this knowledge when solving problems related to the economic areas where these methods are used.
Students will be made familiar with the methods of mathematical statistics, methods of analysis of multidimensional data files, methods of regression and correlation analysis, methods of analysis of time series analysis and methods of index analysis and will learn how to use the respective methods when solving economic problems. After completion of this course students will be prepared to use these methods in economic courses.

Not applicable.

Not applicable.

KROPÁČ, J. Statistika B. 3. vyd. CERM, Brno: FP VUT, 2012. ISBN 978-80-7204-822-9. (CS)
SEGER, J. aj. Statistické metody v tržním hospodářství. 1. vyd. Praha: Victoria Publishing, 1995. ISBN 80-7187-058.7. (CS)

HINDLS, R. aj. Analýza dat v manažerském rozhodování. Praha: Grada Publishing, 1999. ISBN 80-7169-255-7. (CS)
KROPÁČ, J. Statistika. 5. vyd. CERM, Brno: 2013. ISBN 978-80-7204-835-9. (CS)
WONNACOT, T.H. aj. Statistika pro obchod a hospodářství. 1. vyd. Praha: Victoria Publishing, 1995. ISBN 80-85605-09-0. (CS)