UVSRPCP029 The Fundamentals of Statistics

Faculty of Public Policies in Opava
Winter 2019
Extent and Intensity
1/1/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
Ing. Bc. Josef Vícha (lecturer)
Ing. Bc. Josef Vícha (seminar tutor)
Guaranteed by
Ing. Bc. Josef Vícha
Institute of Public Administration and Social Policy – Faculty of Public Policies in Opava
Contact Person: JUDr. Marie Sciskalová, Ph.D.
Timetable
Mon 8:55–9:40 C308, except Mon 14. 10., except Mon 25. 11. ; and Mon 14. 10. 8:55–9:40 C206, Mon 25. 11. 8:55–9:40 C209
  • Timetable of Seminar Groups:
UVSRPCP029/A: Mon 9:45–10:30 C308, except Mon 14. 10., except Mon 25. 11. ; and Mon 14. 10. 9:45–10:30 C206, Mon 25. 11. 9:45–10:30 C209, J. Vícha
Prerequisites (in Czech)
FAKULTA(FVP) && TYP_STUDIA(B) && FORMA(P)
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
Course objectives
The aim of the course is to introduce the students with statistical concepts and methods used in quantitative research. Study Outcomes: Professional Knowledge: Students understand basic statistical concepts and procedures. Professional Skills: Students can use a spreadsheet or statistical programs to compile a descriptive statistics of observed phenomena, to perform correlation and regression analysis, use a variety of standard statistical tests and evaluate the conclusions, examine a time series. General Qualification: Students are able to properly process and interpret the results of quantitative research.
Syllabus
  • 1. Introduction: frequency and probability.
    2. Descriptive statistics Characteristics of position and variance.
    3. Descriptive statistics Processing data using spreadsheets.
    4. Descriptive statistics Processing data using statistical programs.
    5. Correlation and regression analysis.
    6. Reliability and validity.
    7. Factor analysis
    8. Estimates and reliability intervals.
    9. Testing hypotheses: basic principles.
    10. Testing hypotheses: parametric tests.
    11. Testing hypotheses: non-parametric tests.
    12. Choice of statistical test and its execution by means of statistical programs.
    13. Time series analysis
Literature
    required literature
  • RAMÍK J. a ČEMERKOVÁ Š. Statistika A, Statistika B, skripta. Opava, Karviná: SU, 2000. info
  • LIKEŠ, J., CYHELSKÝ, L. a HINDLS, R. Statistika A, skripta. Praha: VŠE, 1994. info
  • NOVÁK I., SEGER J. a ZYCHOVÁ L. Statistika B, skripta. Praha: VŠE, 1992. info
  • WONNACOT T. a WONNACOT R. Statistika pro obchod a hospodářství. Praha: Victoria Publishing, 1992. info
  • SWOBODA, H. Moderní statistika. Praha: Svoboda, 1977. info
    recommended literature
  • ANDĚL, J. Statistické metody. Praha: Matfyzpress, 2007. ISBN 80-858-6327-8. info
  • DISMAN, M. Jak se vyrábí sociologická znalost. Příručka pro uživatele. Praha: Karolinum, 2002. ISBN 80-246-0139-7. info
  • CYHELSKÝ L., KAŇOKOVÁ J. a NOVÁK I. Základy teorie statistiky pro ekonomy. Praha: SNTL, 1979. info
  • REISENAUER R. Metody matematické statistiky a jejich aplikace. Praha: SNTL, 1965. info
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
Teacher's information
Passing a written exam at 60 % at least, active participation in seminars.
The course is also listed under the following terms Summer 2015, Summer 2016, Winter 2016, Winter 2017, Winter 2018, Winter 2020, Winter 2021, Winter 2022, Winter 2023, Winter 2024.
  • Enrolment Statistics (Winter 2019, recent)
  • Permalink: https://is.slu.cz/course/fvp/winter2019/UVSRPCP029