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Lecturer(s)
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Tydlitátová Věra, Mgr. Th.D.
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Štípková Martina, Mgr. Ph.D.
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Galeta Patrik, Mgr. Ph.D.
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Kalvas František, PhDr. Mgr. Ph.D.
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Course content
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1-2. levels of measurement 3-4. descriptive statistics 5-6. tabular data presentation 7-8. graphical presentation of data 9-10. binomial and normal distribution 11-12. statistical inference
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Learning activities and teaching methods
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Interactive lecture, Task-based study method, Lecture, Practicum
- Contact hours
- 65 hours per semester
- Preparation for an examination (30-60)
- 60 hours per semester
- Preparation for formative assessments (2-20)
- 20 hours per semester
- Preparation for comprehensive test (10-40)
- 26 hours per semester
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| prerequisite |
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| Knowledge |
|---|
| No formal requirements. |
| learning outcomes |
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| summarize quantitative data into tables and graphs explain the principle of statistical inference choose methods of data analysis with reference to the type of data interpret results of quantitative data analysis in published papers utilize productively MS Excel |
| teaching methods |
|---|
| Lecture |
| Interactive lecture |
| Practicum |
| Task-based study method |
| assessment methods |
|---|
| Test |
| Seminar work |
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Recommended literature
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Agresti, Alan; Finlay, Barbara. Statistical methods for the social sciences. Upper Saddle River : Pearson Prentice Hall, 2009. ISBN 978-0-13-027295-7.
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Disman, Miroslav. Jak se vyrábí sociologická znalost : příručka pro uživatele. Praha : Karolinum, 2000. ISBN 80-246-0139-7.
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Hendl, Jan. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Praha : Portál, 2004. ISBN 80-7178-820-1.
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Sokal, Robert R.; Rohlf, F. James. Biometry : the principles and practice of statistics in biological research. 3rd ed. New York : W.H. Freeman and Company, 2001. ISBN 0-7167-2411-1.
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Zar, Jerrold H. Biostatistical analysis. New Jersey : Prentice Hall, 1999. ISBN 0-13-081542-X.
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