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Lecturer(s)
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Fiedor David, doc. Mgr. Ph.D.
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Course content
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The course focuses on the following topics: 1. Introduction to data analysis; basics of using specialized data processing software 2. Basic statistical concepts; frequency analysis of a statistical dataset and its graphical visualization 3. Cross-tabulation 4. Basic statistical measures 5. Introduction to probability theory; theoretical frequency distributions 6. Estimation of population parameters 7. Introduction to statistical hypothesis testing 8. Specific parametric and nonparametric tests 9. Analysis of variance and its nonparametric counterpart 10. Correlation analysis 11. Introduction to regression analysis, linear regression 12. Regressionother types
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Learning activities and teaching methods
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Lecture, Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming)
- Homework for Teaching
- 28 hours per semester
- Preparation for the Exam
- 60 hours per semester
- Attendace
- 52 hours per semester
- Preparation for the Course Credit
- 40 hours per semester
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Learning outcomes
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The aim of this course is to introduce students with methods of descriptive and inferential statistics as they relate to data analysis within the framework of quantitative research design.
The student has a theoretical understanding of basic statistical methods, is able to apply them appropriately when addressing specific research problems, and correctly interprets the results obtained.
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Prerequisites
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Knowledge covering the content of courses that introduce students to quantitative methods in geographic research, i.e., the courses "Introduction to Geographic Research" and "Quantitative Methods in Geographic Research."
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Assessment methods and criteria
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Mark, Oral exam, Student performance
Knowledge covered in lectures, seminars, and indicated literature.
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Recommended literature
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Frankfort-Nachmias, Ch., Leon-Guerrero, A. (2017). Social Statistics for a Diverse Society. Los Angeles.
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Rabušic, L., P. Soukup, P. Mareš. (2019). Statistická analýza sociálněvědních dat (prostřednictvím SPSS). Brno.
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Rogerson, P.A. (2015). Statistical methods for Geography: A student's guide. Sage Publications.
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