FVP:UVSRPCK029 The Fundamentals of Statistics - Course Information
UVSRPCK029 The Fundamentals of Statistics
Faculty of Public Policies in OpavaWinter 2019
- Extent and Intensity
- 6/0/0. 3 credit(s). Type of Completion: z (credit).
- Teacher(s)
- Ing. Bc. Josef Vícha (lecturer)
- 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
- Fri 8. 11. Fri 10:35–13:00 C208, Fri 13:55–16:20 C208
- Prerequisites (in Czech)
- FAKULTA(FVP) && TYP_STUDIA(B) && FORMA(K)
- 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
- Public Administration and Social Politics (programme FVP, B6731-SPSP)
- 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
- 1. Introduction: frequency and probability.
- 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)
- The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 6 HOD/SEM. - Teacher's information
- Exercises submitted and evaluated in the Moodle e-learning tool.
The instructor will notify the students on the topics that have not been fully lectured for them to seek in the compulsory literature or at the e-learning site.
- Enrolment Statistics (Winter 2019, recent)
- Permalink: https://is.slu.cz/course/fvp/winter2019/UVSRPCK029