FVP:FVPAA005 The Fundamentals of Statistics - Course Information
FVPAA005 The Fundamentals of Statistics
Faculty of Public Policies in OpavaWinter 2018
- 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
- Ing. Bc. Josef Vícha
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
- Předměty pro zahraniční studenty (programme FVP, 1583)
- 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
- 1. Introduction: frequency and probability.
- Language of instruction
- English
- Further Comments
- The course can also be completed outside the examination period.
- Enrolment Statistics (Winter 2018, recent)
- Permalink: https://is.slu.cz/course/fvp/winter2018/FVPAA005