ESF:C_KMSTAT Statistics - Course Information
C_KMSTAT Statistics
Faculty of Economics and AdministrationAutumn 2005
- Extent and Intensity
- 12/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Marie Budíková, Dr. (lecturer)
- Guaranteed by
- prof. Ing. Osvald Vašíček, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Barbara Szláviková - Timetable of Seminar Groups
- C_KMSTAT/01: Sun 9. 10. 12:50–16:15 P101, Sun 6. 11. 12:50–16:15 P101, Sun 18. 12. 12:50–16:15 P101, M. Budíková
C_KMSTAT/02: Fri 14. 10. 12:50–16:15 433, Fri 4. 11. 12:50–16:15 433, Fri 18. 11. 12:50–16:15 433, M. Budíková, KOOPERATIVA - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Banking System (programme ESF, C-CV)
- Business Financial Management (programme ESF, C-CV)
- Management (programme ESF, C-CV)
- Insurance System KOOPERATIVA (programme ESF, C-CV)
- Regional Development and Tourist Business (programme ESF, C-CV)
- Regional Development and Administration (programme ESF, C-CV)
- Building Saving (programme ESF, C-CV)
- Course objectives
- Statistics (C_KMSTAT) The course consists of descriptive statistics (approximately 20 %), principles of probability theory (about 40 %) and statistical induction (about 40 %). The consultation sessions include motivation of the elementary concepts, key statements and calculation of typical examples. The topics follow a fixed procedure: descriptive statistical characteristics of nominal, ordinal, interval and proportional indicators; the basic properties of probability, stochastic independence of phenomena, conditional probability; random variables and vectors, their discrete and continuous type; joint distribution and stochastic independence of random variables; characteristics of random variables; asymptotic expressions; normal and other exact distributions; the basic concepts of statistical induction, double sample and paired comparison; confidential and prediction intervals; testing of hypotheses; regression analysis. Examination: written and oral.
- Literature
- BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Popisná statistika (Descriptive Staistics). 2. dotisk 3. vydání. Brno: Masarykova univerzita v Brně, 2002, 52 pp. ISBN 80-210-1831-3. info
- BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Teorie pravděpodobnosti a matematická statistika.Sbírka příkladů. (Probability Theory and Mathematical Statistics.Collection of Tasks.). 2.dotisk 2.přeprac.vyd. Brno: Masarykova univerzita Brno, 2002, 127 pp. ISBN 80-210-1832-1. info
- Elementární statistická analýza. Edited by Lubomír Cyhelský - Jana Kahounová - Richard Hindls. 2. dopl. vyd. Praha: Management Press, 2001, 318 s. ISBN 80-7261-003-1. info
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
Information on completion of the course: do 21.5.2006
The course can also be completed outside the examination period.
The course is taught annually.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/econ/autumn2005/C_KMSTAT