#
ESF:BPM_ST1A Statistics 1 - Course Information

## BPM_ST1A Statistics 1

**Faculty of Economics and Administration**

Autumn 2021

**Extent and Intensity**- 2/2/0. 6 credit(s). Type of Completion: zk (examination).
**Teacher(s)**- doc. Mgr. Maria Králová, Ph.D. (lecturer)
**Guaranteed by**- doc. Mgr. Maria Králová, Ph.D.

Department of Applied Mathematics and Computer Science - Faculty of Economics and Administration

Contact Person: Mgr. Jana Nesvadbová

Supplier department: Department of Applied Mathematics and Computer Science - Faculty of Economics and Administration **Prerequisites**- SOUHLAS

Knowledge of HE Mathematics **Course Enrolment Limitations**- The course is also offered to the students of the fields other than those the course is directly associated with.

The capacity limit for the course is 2 student(s).

Current registration and enrolment status: enrolled:**2**/2, only registered:**0**/2, only registered with preference (fields directly associated with the programme):**0**/2 **fields of study / plans the course is directly associated with**- Business Management and Finance (programme ESF, B-BMF)
- Economics and Public Policy (programme ESF, B-EPP)
- Multidisciplinary studies (programme CST, KOS)
- Multidisciplinary studies (programme ESF, KOS)
- Multidisciplinary studies at Faculty of Economics and Administration (programme CST, KOS)

**Course objectives**- At the end of the course students should be able to:

- understand and explain the basic terms in the 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 quantitative characteristics within a framework of descriptive statistics

- describe types of variables concerning measurement scale

- via probability quantify randomness in elementary situations

- use and correctly interpret distribution function, probability function and density function

- determine appropriate distributions concerning the application context **Syllabus**- 1.Types of variables concerning measurement scale. Data visualisation.
- 2. Sampling, random sample
- 3. Fundamental of descriptive statistics.
- 4. Frequency and probability, probability properties, examples.
- 5. Independent events, properties of independent events, a 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. Quantitative measures of probability distribution: expected value, variance, quantile, their properties and applications in economics.
- 10. Quantitative measures of simultaneous probability.
- distribution: covariance, correlation coefficient, their properties and applications in economics.
- 11. Examples of discrete and continuous probability distributions and their applications in the field of economics.
- 12. Central limit theorem and its applications.
- 13. Review

**Literature**- WEISS, N. A.
*Introductory statistics*. Edited by Carol A. Weiss. 10th edition, global edition. Boston: Pearson, 2017. 763, 73. ISBN 9781292099729. info

*required literature*- UBØE, Jan.
*Introductory statistics for business and economics : theory, exercises and solutions*. Cham: Springer, 2017. xiv, 466. ISBN 9783319709352. info - RAMACHANDRAN, K. M. and Chris P. TSOKOS.
*Mathematical statistics with applications in R*. Second edition. Amsterdam: Elsevier/AP, 2015. xxiii, 789. ISBN 9780124171138. info

*recommended literature*- WEISS, N. A.
**Teaching methods**- The course consists of lectures and seminars.
**Assessment methods**- The course is completed by fulfilling the following requirements:

1. Adequately active participation at seminars

2. Success at ROPOT tests

3. Success at the final test **Language of instruction**- English
**Further Comments**- Study Materials

The course is taught annually.

The course is taught: every week.

- Enrolment Statistics (recent)

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