FSS:POLb1139 Statistical Reasoning - Course Information
POLb1139 Statistical Reasoning
Faculty of Social StudiesSpring 2024
- Extent and Intensity
- 1/1/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Peter Spáč, Ph.D. (lecturer)
Mgr. Petr Voda, Ph.D. (lecturer) - Guaranteed by
- doc. Mgr. Peter Spáč, Ph.D.
Department of Political Science – Faculty of Social Studies
Contact Person: Mgr. Lucie Pospíšilová
Supplier department: Division of Politology – Department of Political Science – Faculty of Social Studies - Timetable
- Tue 10:00–11:40 PC26, Tue 12:00–13:40 PC25
- 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
- Political Science (programme FSS, B-GK)
- Political Science (programme FSS, B-HE) (2)
- Political Science (programme FSS, B-HS)
- Political Science (programme FSS, B-KS) (2)
- Political Science (programme FSS, B-MS) (2)
- Political Science (programme FSS, B-PL) (4)
- Political Science (programme FSS, B-POL) (9)
- Political Science (programme FSS, B-PS) (2)
- Political Science (programme FSS, B-SO) (2)
- Political Science (programme FSS, B-SP) (2)
- Public Policy and Human Resources (programme FSS, B-PL) (2)
- Course objectives
- Statistics is an important part of social science research. This course is an introduction of statistical inference and methods. The aim of the course is to present students to basic statistical concepts and techniques which they will use in their own research. Students will learn statistical techiques using the SPSS statisical software. No previous knowledge of statistics is required.
- Learning outcomes
- Students will know how to:
- understand and explain basic statistical concepts;
- analyze social science data;
- create and test hypotheses;
- apply statistical methods - Syllabus
- 1. Course introduction;
- 2. What is statistics, variables, levels of measurement
- 3. Introduction to SPSS
- 4. Descriptive statistics
- 5. Distribution of data, normal distribution
- 6. Population, sample, statistical inference, statistical testing
- 7. Analysis of categorical variables
- 8. Comparison of means
- 9. Seminar 1
- 10. Graphs
- 11. Correlation
- 12. Seminar 2
- Literature
- required literature
- WHEELAN, Charles. Naked statistics : stripping the dread from the data. New York: W.W. Norton & Company, 2013. 282 s. 978-0-393-34777-7.
- GRAVETTER, Frederick J., Larry B. WALLNAU a Lori-Ann B. FORZANO. Essentials of Statistics for the Behavioral Sciences. Cengage Learning, 2017.
- RABUŠIC, Ladislav, Petr SOUKUP and Petr MAREŠ. Statistická analýza sociálněvědních dat (prostřednictvím SPSS) (Statistical data analysis (with SPSS)). 2. přepracované vyd. Brno: Masarykova univerzita, 2019, 573 pp. ISBN 978-80-210-9247-1. URL info
- FIELD, Andy and Jeremy MILES. Discovering statistics using R. SAGE, 2012. ISBN 978-1-4462-0045-2. info
- Teaching methods
- Lectures and seminars
- Assessment methods
- Seminar assignments and final examination
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fss/spring2024/POLb1139