ESF:KMSTAI_T Statistics I - Course Information
KMSTAI_T Statistics I
Faculty of Economics and AdministrationAutumn 2006
- Extent and Intensity
- 0/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Marie Budíková, Dr. (lecturer)
- Guaranteed by
- doc. RNDr. Jaroslav Michálek, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková - Timetable
- Sat 7. 10. Sat 12:50–16:15 T 2B, Sun 5. 11. Sun 12:50–16:15 T 2B, Sat 16. 12. Sat 14:35–17:55 T 2B
- Prerequisites (in Czech)
- KMMAT2_T Mathematics 2 || KMMATB_T Mathematics B
- 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
- Management (programme ESF, B-EKM, specialization Management_T)
- Monetary System (programme ESF, B-HPS, specialization Banking System_T)
- Regional Development and Administration (programme ESF, B-HPS, specialization Reg. Develop. & Admin._T)
- Regional Development and Administration (programme ESF, B-HPS, specialization Reg. Develop. & Admin._T)
- Course objectives
- Statistics I (KMSTAI_T) 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
The course can also be completed outside the examination period.
The course is taught annually.
- Enrolment Statistics (Autumn 2006, recent)
- Permalink: https://is.muni.cz/course/econ/autumn2006/KMSTAI_T