PMSTAI Statistics I

Faculty of Economics and Administration
Spring 2002
Extent and Intensity
2/2/0. 5 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Pavel Osecký, CSc. (lecturer)
Mgr. Petra Hobstová (seminar tutor)
doc. Mgr. Maria Králová, Ph.D. (seminar tutor)
doc. RNDr. Pavel Osecký, CSc. (seminar tutor)
doc. RNDr. Jitka Poměnková, 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: Naděžda Polehlová
Timetable
Wed 12:50–14:30 P101
  • Timetable of Seminar Groups:
PMSTAI/01: Wed 14:35–16:15 P312, P. Osecký
PMSTAI/02: Wed 16:20–17:55 P312, P. Osecký
PMSTAI/03: Wed 14:35–16:15 P304, J. Poměnková
PMSTAI/04: Wed 16:20–17:55 P304, P. Hobstová
PMSTAI/05: Wed 18:00–19:35 P304, P. Hobstová
PMSTAI/06: Thu 17:10–18:45 P304, P. Hobstová
PMSTAI/07: Thu 17:10–18:45 P403, J. Poměnková
PMSTAI/08: Thu 12:00–13:35 P304, P. Hobstová
PMSTAI/09: Wed 18:00–19:35 P312, J. Poměnková
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
there are 8 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.
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 Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008.
  • Enrolment Statistics (Spring 2002, recent)
  • Permalink: https://is.muni.cz/course/econ/spring2002/PMSTAI