UVSRPV0161 Basics of Statistics

Faculty of Public Policies in Opava
Winter 2016
Extent and Intensity
1/1/0. 3 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. RNDr. Tomáš Kopf, Ph.D. (lecturer)
Jarmila Mateřanková (lecturer)
doc. RNDr. Tomáš Kopf, Ph.D. (seminar tutor)
Jarmila Mateřanková (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
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
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.
The course is also listed under the following terms Winter 1993, Winter 1994, Winter 1995, Winter 1996, Winter 1997, Winter 1998, Winter 1999, Winter 2000, Winter 2001, Winter 2002, Winter 2003, Winter 2004, Winter 2005, Winter 2006, Winter 2007, Winter 2008, Winter 2009, Winter 2010, Winter 2011, Winter 2012, Winter 2013, Winter 2014, Winter 2015, Winter 2017, Winter 2018.
  • Enrolment Statistics (Winter 2016, recent)
  • Permalink: https://is.slu.cz/course/fvp/winter2016/UVSRPV0161