ESF:BPM_ST1A Statistics 1 - Course Information
BPM_ST1A Statistics 1Faculty of Economics and Administration
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: zk (examination).
- 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
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
- 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
- required literature
- WEISS, N. A. Introductory statistics. Edited by Carol A. Weiss. 10th edition, global edition. Boston: Pearson, 2017. 763, 73. ISBN 9781292099729. info
- recommended 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
- 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
- Further Comments
- Study Materials
The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/econ/autumn2021/BPM_ST1A