FVPAA005 The Fundamentals of Statistics

Faculty of Public Policies in Opava
Winter 2024
Extent and Intensity
1/1/0. 8 credit(s). Type of Completion: zk (examination).
Teacher(s)
Ing. Bc. Josef Vícha (lecturer)
Ing. Bc. Josef Vícha (seminar tutor)
Guaranteed by
Mgr. Kateřina Janků, Ph.D.
Faculty of Public Policies in Opava
Contact Person: Mgr. Jana Bortlíková
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. Students will understand basic statistical concepts and procedures. Students will be able to 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. Students will be 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
Language of instruction
English
Further Comments
The course can also be completed outside the examination period.
The course is also listed under the following terms Winter 2018, Winter 2021, Winter 2022, Summer 2023, Winter 2023.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fvp/winter2024/FVPAA005