Czech

5

Not applicable.

Students will be made familiar with the methods of mathematical statistics, regression analysis and time series 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.

Fundamentals of probability theory.

Not applied.

The course contains lectures that explain basic principles, problems and methodology of the discipline, and exercises that promote the practical knowledge of the subject presented in the lectures.

COURSE-UNIT CREDIT: The course-unit credit is awarded on the following conditions:
- participation in seminars,
- submitting theoreticla questions,
- submitting calculation projects solved on computer.
EXAM: The exam has a written part.
In the first part of the exam student solves 4 examples within 80 minutes. (It is allowed to use recomended literature.)
In the second part of the exam student works out answers to 3 theoretical questions within 15 minutes. (It is not allowed to use recomened literature.)
The mark, which corresponds to the total sum of points achieved (max 100 points), consists of:
- points achieved in control tests, theoretical questions, and calculation projects on computer,
- points achieved by solving examples,
- points achieved by answering theoretical questions.
The grades and corresponding points:
A (100-90), B (89-83), C (82-76), D (75-69), E (68-60), F (59-0).

UNIVARIATE SAMPLE DATA: Univariate sample data with quantitative variable, empirical characteristics and distribution laws, sample data with qualitative variable, point and interval estimation parameters of population, testing statistical hypothesis, goodness-of-fit tests.
BIVARIATE SAMPLE DATA: Bivariate sample data with two quantitative variables, empirical characteristics, interval estimation for correlation coefficient, test of independence two quantitative variables, bivariate sample data with qualitative variables, test of independence two qualitative variables.
REGRESSION ANALYSIS: Least-squares method, regression line, general regression model, special regression function.
TIME SERIES: Characteristics of time series, decomposition of time series, finding of trend in a time series, gliding mean method, season component in a time series.

Not applicable.

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.

Attendance at lectures is not compulsory but is recommended. Attendance at exercises is required and checked by the tutor. An excused absence of a student from seminars can be compensated for by submitting solution of alternate exercises.

Not applicable.

Not applicable.

KROPÁČ,J. Statistika B. 3. vyd. CERM, Brno: 2012. ISBN 978-80-7204-822-9. (CS)
SEGER, J., HINDLS, R. Statistické metody v tržním hospodářství. 1. vyd. Praha : Victoria Publishing, 1995. ISBN 80-7187-058-7. (CS)

CIPRA, T. Analýza časových řad s aplikacemi v ekonomii. Praha : SNTL/ALFA, 1986. 04-012-86 (CS)
WONNACOT, T. H.,WONNACOT, R. J. Statistika pro obchod a hospodářství. 1. vyd. Praha : Victoria Publishing, 1993. ISBN 80-85605-09-0. (CS)
HINDLS, R., HRONOVÁ, S., Novák, I. Analýza dat v manažerském rozhodování. Praha : Grada Publishing, 1999. ISBN 80-7169-255-7. (CS)
KROPÁČ, J. Statistika A. 5. vyd. CERM, Brno: 2013. ISBN 978-80-7204-835-9. (CS)

26 hours, compulsory

The topics of exercises correspond to the topics dealt with in lectures.