PMSTAI Statistics I

Faculty of Economics and Administration
Autumn 2004
Extent and Intensity
2/2/0. 5 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Jaroslav Michálek, CSc. (lecturer)
Mgr. Hana Fitzová, Ph.D. (seminar tutor)
Mgr. Lucie Hampelová, Ph.D. (seminar tutor)
Mgr. Zuzana Hübnerová, Ph.D. (seminar tutor)
doc. RNDr. Jaroslav Michálek, CSc. (seminar tutor)
doc. RNDr. Marek Sedlačík, Ph.D. (seminar tutor)
Guaranteed by
doc. RNDr. Jaroslav Michálek, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Timetable
Wed 12:50–14:30 P102, Wed 12:50–14:30 P101
  • Timetable of Seminar Groups:
PMSTAI/01: Wed 16:20–17:55 P312, J. Michálek
PMSTAI/02: Wed 14:35–16:15 P304, J. Michálek
PMSTAI/03: Wed 18:00–19:30 P101, J. Michálek
PMSTAI/04: Mon 16:20–17:55 P303, Z. Hübnerová
PMSTAI/05: Thu 11:05–12:45 P106, L. Hampelová
PMSTAI/06: Wed 18:00–19:30 P304, Z. Hübnerová
PMSTAI/07: Thu 7:40–9:15 P103, L. Hampelová
PMSTAI/08: Thu 11:05–12:45 P303, H. Fitzová
PMSTAI/09: Thu 16:20–17:55 P103, M. Sedlačík
PMSTAI/10: Thu 18:00–19:30 P103, M. Sedlačík
PMSTAI/11: Thu 7:40–9:15 P102, H. Fitzová
PMSTAI/12: Tue 7:40–9:15 P104, J. Michálek
Prerequisites (in Czech)
PMMAT2 Mathematics II
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 326 student(s).
Current registration and enrolment status: enrolled: 0/326, only registered: 0/326, only registered with preference (fields directly associated with the programme): 0/326
fields of study / plans the course is directly associated with
there are 6 fields of study the course is directly associated with, display
Course objectives
Statistics I (PMSTAI) The course has two objectives. The first is to perfectly understand the concepts of descriptive statistics: functional characteristics such as empirical frequencies and distribution functions with corresponding charts in case of point and interval data processing, to perfectly understand numerical characteristics such as quantiles, averages, standard deviations, correlation coefficients and regression line characteristics - all classified according to nominal, ordinal, interval and ratio symbols. The lectures will alternate with exercises, where computer calculations of economic tasks and their graphic representations will be practised. The second objective is to master the basic concepts of calculus of probabilities, partly introduced in descriptive statistics: stochastically stable random trial, random quantity, random vector, probability, discrete and continuous random variables, stochastic independence of phenomena and random variables, conditional probability and conditional distribution of random variables: mean value, dispersion, standard deviation, covariance, correlation coefficient. Different distribution laws and their simulations will be practised on economic tasks with the aid of the computer. Credit requirements: adequately active participation in exercise and computer sessions, success at progress test.
Literature
  • 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
  • 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
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
Information on course enrolment limitations: 10 pouze přednáška
The course is also listed under the following terms Spring 2002, Autumn 2003, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008.
  • Enrolment Statistics (Autumn 2004, recent)
  • Permalink: https://is.muni.cz/course/econ/autumn2004/PMSTAI