# ESF:BPM_STA1 Statistics 1 - Course Information

## BPM_STA1 Statistics 1

**Faculty of Economics and Administration**

Autumn 2023

**Extent and Intensity**- 2/2/0. 5 credit(s). Type of Completion: zk (examination).
**Teacher(s)**- Mgr. Petra Ráboňová, Ph.D. (lecturer)

Ing. Matouš Cabalka (seminar tutor)

Mgr. Martin Dzúrik (seminar tutor)

Bc. Barbora Halaštová (seminar tutor)

Mgr. Bc. Martin Chvátal, Ph.D. (seminar tutor)

Ing. Mgr. Markéta Matulová, Ph.D. (seminar tutor)

Mgr. Petra Ráboňová, Ph.D. (seminar tutor)

Ing. Mgr. Vlastimil Reichel, Ph.D. (seminar tutor) **Guaranteed by**- Mgr. Petra Ráboňová, Ph.D.

Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration

Contact Person: Lenka Hráčková

Supplier department: Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration **Timetable**- Tue 10:00–11:50 P101, except Tue 19. 9., except Tue 7. 11.
- Timetable of Seminar Groups:

*M. Cabalka*

BPM_STA1/03: Wed 14:00–15:50 VT314, except Wed 20. 9., except Wed 8. 11.,*V. Reichel*

BPM_STA1/04: Wed 16:00–17:50 VT314, except Wed 20. 9., except Wed 8. 11.,*V. Reichel*

BPM_STA1/05: Thu 8:00–9:50 VT206, except Thu 21. 9., except Thu 9. 11.,*P. Ráboňová*

BPM_STA1/06: Thu 10:00–11:50 VT206, except Thu 21. 9., except Thu 9. 11.,*M. Cabalka*

BPM_STA1/07: Tue 12:00–13:50 VT206, except Tue 19. 9., except Tue 7. 11.,*P. Ráboňová*

BPM_STA1/09: Wed 14:00–15:50 VT202, except Wed 20. 9., except Wed 8. 11.,*M. Cabalka*

BPM_STA1/11: Wed 16:00–17:50 VT202, except Wed 20. 9., except Wed 8. 11.,*M. Cabalka*

BPM_STA1/13: Mon 18:00–19:50 VT202, except Mon 18. 9., except Mon 6. 11.,*M. Cabalka*

BPM_STA1/15: Wed 10:00–11:50 VT314, except Wed 20. 9., except Wed 8. 11.,*M. Cabalka*

BPM_STA1/16: Thu 16:00–17:50 VT204, except Thu 21. 9., except Thu 9. 11.,*M. Dzúrik*

BPM_STA1/18: Thu 10:00–11:50 VT202, except Thu 21. 9., except Thu 9. 11.,*P. Ráboňová*

BPM_STA1/20: Thu 12:00–13:50 VT206, except Thu 21. 9., except Thu 9. 11.,*M. Cabalka*

BPM_STA1/22: Thu 18:00–19:50 VT206, except Thu 21. 9., except Thu 9. 11.,*M. Dzúrik*

BPM_STA1/23: Thu 8:00–9:50 VT204, except Thu 21. 9., except Thu 9. 11.,*M. Cabalka*

BPM_STA1/24: Tue 12:00–13:50 VT202, except Tue 19. 9., except Tue 7. 11.,*B. Halaštová*

BPM_STA1/25: Tue 14:00–15:50 VT202, except Tue 19. 9., except Tue 7. 11.,*B. Halaštová* **Prerequisites**(in Czech)- (
**BPM_VTMA**Mathematics Entrance Test ) **Course Enrolment Limitations**- The course is also offered to the students of the fields other than those the course is directly associated with.
**fields of study / plans the course is directly associated with**- there are 13 fields of study the course is directly associated with, display
**Course objectives**- At the end of the course students should be able to:

- understand and explain the basic terms in calculus of probability and in descriptive statistics;

- apply the probability terms and the descriptive statistics terms to the description of economic events and data;

- use the terminology in the follow-up course of mathematical statistics. **Learning outcomes**- After graduation of the course student should be able to:

- use and interpret functional and numeric characteristics within a framework of descriptive statistics

- describe types of variables with respect to measurement scale

- quantify randomness in elementary setting by probability

- use and properly interpret distributional function, probability function and density function

- determine in mathematical statistics popular distributions with respect to the application context **Syllabus**- 1.Types of variables with respect to measurement scale. Data visualisation.
- 2. Sampling, random sample
- 3. Basic of descriptive statistics.
- 4. Frequency and probability, probability properties, examples.
- 5. Independent events, properties of independent events, sequence of independent events.
- 6. Conditional probability, total probability rule, Bayes' theorem, examples.
- 7. Random variable, a discrete and continuous variable, discrete probability distribution, probability function and its properties; continuous probability distribution, probability density function and its properties.
- 8. Distribution function, its properties and its application.
- 9. Numerical measures of probability distribution: expected value, variance, quantile, their properties and application in economics.
- 10. Numerical measures of simultaneous probability distribution: covariance, correlation coefficient, their properties and application in economics.
- 11. Examples of discrete and continuous probability distributions and their application in the field of economics.
- 12. Central limit theorem and its applications.
- 13. Review

**Literature**- BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ.
*Průvodce základními statistickými metodami (Guide to basic statistical methods)*. vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info

*required literature*- MANN, Prem S.
*Introductory statistics*. Ninth edition. Hoboken: Wiley, 2019, 171 stran. ISBN 9781119148296. info

*recommended literature*- BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ.
**Teaching methods**- Theoretical lectures; practical computer-aided seminar sessions;
**Assessment methods**- Lecture with a seminar

Test requirements:

1. Adequately active participation at seminars

2. Success at ROPOT tests

3. Success at final test

Any copying, recording or leaking tests, use of unauthorized tools, aids and communication devices, or other disruptions of objectivity of exams (credit tests) will be considered non-compliance with the conditions for course completion as well as a severe violation of the study rules. Consequently, the teacher will finish the exam (credit test) by awarding grade "F" in the Information System, and the Dean will initiate disciplinary proceedings that may result in study termination. **Language of instruction**- Czech
**Follow-Up Courses****Further comments (probably available only in Czech)**- Study Materials

The course is taught annually. **Listed among pre-requisites of other courses****BKM_STA2**Statistics 2

(BKM_STA1) || (BPM_STA1) && forma(K)**BPM_STAE**Statistics for economists

(!BPM_STA1)||(!BPM_STA2)**BPM_STA2**Statistics 2

(BPM_STA1)**MPV_MZVS**Research Methods in the Public Sector

(( BPM_STA1 ) && (!MPV_KMZV))

- Enrolment Statistics (recent)

- Permalink: https://is.muni.cz/course/econ/autumn2023/BPM_STA1