Lecturer(s)
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Rozkovec Jiří, Mgr.
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Öhm Jan, Ing. Ph.D.
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Hovorková Valentová Vladimíra, Ing. Ph.D.
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Course content
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1.-3. One-Dimensional Analysis (basic terms, types of data, frequency distributions, descriptive statistics). 4.-5. Theory of Probability (basic terms, charakteristics, probability distributions). 6.-7. Mathematical Statistics (Theory of Estimation, Hypothesis Tests). 8. Dependencies of Categorical and Numeric Variables. 9. Regression Analysis. 10. Correlation Analysis. 11. Time Series Analysis (introduction, characteristics). 12. Trend Analysis. Forecasting. 13. Seasonal and Irregular Components of Time Series. 14. Comparison of Values of Statistical Indicators.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing)
- Class attendance
- 56 hours per semester
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Learning outcomes
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The course introduces basic statistical tools and methods of data processing. It adresses system of descriptive characteristics, includes introduction to theory of probability and mathematical statistics, contains analysis of dependencies and time series analysis.
Students obtain knowledge in given course in accordance with requirements and course programme.
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Prerequisites
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Knowledge of MA1, computer skills.
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Assessment methods and criteria
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Combined examination
Credit - attendance min. 80 %, written credit test min. 60 %. Exam - written exam min. 60 %.
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Recommended literature
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ARTLOVÁ, M., BÍLKOVÁ, D., JAROŠOVÁ, E., POUROVÁ, Z. Příklady k předmětu Statistika A. Skripta VŠE Praha. Praha 2003.
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CYHELSKÝ, L., KAHOUNOVÁ, J., HINDLS, R. Elementární statistická analýza. 2. vydání. Management Press. Praha 1999.
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HINDLS, R., HRONOVÁ, S., NOVÁK, I. Metody statistické analýzy pro ekonomy. Management Press. Praha 2000.
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JAROŠOVÁ, E., PECÁKOVÁ, I. Příklady k předmětu Statistika B. Skripta VŠE Praha. Praha 2005.
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SEGER, J., HINDLS, R., HRONOVÁ, S. Statistika v hospodářství. E.T.C. Publishing. Praha 1998.
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SEGER, J., HINDLS, R. Statistické metody v tržním hospodářství. Victoria Publishing. Praha 1995.
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