FVP:UVSRPV0161 Basics of Statistics - Course Information
UVSRPV0161 Basics of Statistics
Faculty of Public Policies in OpavaWinter 2013
- Extent and Intensity
- 1/1/0. 3 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. RNDr. Tomáš Kopf, Ph.D. (lecturer)
doc. RNDr. Tomáš Kopf, Ph.D. (seminar tutor) - Guaranteed by
- doc. RNDr. Tomáš Kopf, Ph.D.
Institute of Public Administration and Social Policy – Faculty of Public Policies in Opava - 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
- Public Administration and Regional Policy (programme FVP, B6731-SPSP)
- Course objectives
- The course follows the obligatory subject Methods and Techniques of Social Research and provides the students with principal orientation in modern statistics and its usage in public administration. The course contains: firstly, collection and processing of statistical data, rules for composition and reading of statistical charts and graphs, interpretation of descriptive characteristics of statistical files. Next, it concentrates on explanation of substance of regressive and correlation analysis as principal instruments of researching relations between mass phenomena and possibilities of their usage in practice, on the most probable models, especially normal division and on concept of statistical induction, including processes of testing statistical hypotheses, always with emphasis on their usage in decision practice. The course comprises also composition of time lines, its analysis and usage for prognosis making and presentation of modern trends of index theory.
- Syllabus
- 1. Principal statistical concepts
2. Statistical research
3. Principal operations with statistical files
4. Descriptive characteristics of statistical files
5. Regressive and correlation analysis
6. Elementary concepts of the number of probability
7. Probability models
8. Principal statistical inductions
9. Statistical testing of hypotheses
10. Time lines
11. Indexes
- 1. Principal statistical concepts
- Literature
- required literature
- Jaroslav Ramík, Šárka Čemerková. Statistika A, Statistika B, skripta. Opava, Karviná: SU, 2000. info
- Jiří Likeš, Lubomír Cyhelský, Richard Hindls. Statistika A, skripta. Praha: VŠE, 1994. info
- Ilja Novák, Jan Seger, Lenka Zychová. Statistika B, skripta. Praha: VŠE, 1992. info
- Thomas Wonnacot, Ronald Wonnacot. Statistika pro obchod a hospodářství. Praha: Victoria Publishing, 1992. info
- Lubomír Cyhelský, Jara Kaňoková, Ilja Novák. Základy teorie statistiky pro ekonomy. Praha: SNTL, 1979. info
- Helmut Swoboda. Moderní statistika. Praha: Svoboda, 1977. info
- Roman Reisenauer. Metody matematické statistiky a jejich aplikace. Praha: SNTL, 1965. info
- Teaching methods
- Interactive lecture
Lecture supplemented with a discussion
Lecture with a video analysis - Assessment methods
- Test
Written exam
Oral exam - Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- The graduate will be able to understand and use statistical data, will be presented with rules of their collection and processing, with rules of composition and reading statistical charts and graphs and with interpretation of descriptive characteristics of statistical files. They will be introduced the basics of regressive and correlation analysis as principal instruments of research of relations between mass phenomena and possibilities of their usage in practice. To understand the most probable models, especially normal division and concept of statistical induction, including processes of testing statistical hypotheses, always with emphasis on their usage in decision practice. To compose time lines, analyse them and use them for prognosis making. They will be presented modern trends of index theory.
- Enrolment Statistics (Winter 2013, recent)
- Permalink: https://is.slu.cz/course/fvp/winter2013/UVSRPV0161