ESF:PMSTII Statistics II - Course Information
PMSTII Statistics II
Faculty of Economics and AdministrationAutumn 2002
- Extent and Intensity
- 2/2/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. RNDr. Jaroslav Michálek, CSc. (lecturer)
Doudová (seminar tutor)
Mgr. Lucie Hampelová, Ph.D. (seminar tutor)
doc. Mgr. Maria Králová, Ph.D. (seminar tutor)
doc. RNDr. Marek Sedlačík, Ph.D. (seminar tutor) - Guaranteed by
- prof. Ing. Osvald Vašíček, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková - Timetable
- Thu 18:00–19:35 P101
- Timetable of Seminar Groups:
PMSTII/02: Wed 18:00–19:30 P312, M. Sedlačík
PMSTII/03: Wed 18:00–19:30 P201, M. Králová
PMSTII/04: Wed 16:20–17:55 P201, M. Králová
PMSTII/05: Wed 8:30–10:00 P403, L. Hampelová
PMSTII/06: Wed 12:50–14:20 P101, M. Králová
PMSTII/07: Wed 11:05–12:35 P303, L. Hampelová
PMSTII/08: Thu 11:05–12:45 P403, L. Hampelová
PMSTII/09: Thu 16:20–17:55 P103, M. Sedlačík - Prerequisites (in Czech)
- STAI Statistics I || Ex_7289_P Statistics I || PMSTAI Statistics I
- 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
- Financial Management (programme ESF, M-HPS)
- National Economy (programme ESF, M-HPS)
- Business Economy (programme ESF, M-EKM)
- Regional Development and Administration (programme ESF, M-HPS)
- Public Economics (programme ESF, M-HPS)
- Course objectives
- Statistics II (PMSTII) At the beginning, the course finishes some topics of calculus of probabilities: law of averages, central limit theorem and the properties of normal as well as derived exact distributions with quantile tables. Convergence of asymptotic formulas necessary in economic tasks is performed on the computer. The principal aim is to describe basic terms of inductive statistics: parametric functions, source and derived statistics, decision rules, reliability intervals, statistical hypotheses testing, etc. Different situations for comparing random choices are explained: two or more independent or pair or block conjugated random samples. Computer-aided solution of economic tasks using normal distribution, contingency tables and multidimensional regression analysis. Notion of simple, stratified and quota selective enquiry. Credit requirements: adequately active attendance at exercise and computer sessions, success at progress test. Examination: written and oral from course Statistics I and Statistics II.
- Literature
- BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Popisná statistika (Descriptive Statistics). 3., doplněné vyd. Brno: Masarykova univerzita, 1998, 52 pp. ISBN 80-210-1831-3. info
- OSECKÝ, Pavel. Statistické vzorce a věty (Statistical formulas). Druhé rozšířené. Brno (Czech Republic): Masarykova univerzita, Ekonomicko-správní fakulta, 1999, 53 pp. ISBN 80-210-2057-1. info
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course is taught annually.
Information on course enrolment limitations: max. 30 cizích studentů; cvičení pouze pro studenty ESF
- Enrolment Statistics (Autumn 2002, recent)
- Permalink: https://is.muni.cz/course/econ/autumn2002/PMSTII