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Lecturer(s)
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Course content
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1. Basic concepts, sample surveys 2. Random variable, descriptive statistics 3. Probability distribution, distribution function 4. Parameter estimation, hypothesis testing 5. Statistical tests 6. ANOVA, contingency tables 7. Correlation and regression analysis 7. Spatial statistics 8. Exploratory analysis, data visualization
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The aim is to introduce students to the basics of statistics for the needs of geoinformatics during their studies, but also for applicability in real practice.
The course focuses on the acquisition of knowledge. Define key terms, describe the main approaches to demonstrate theoretical knowledge for solving problems.
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Prerequisites
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Application of knowledge from previous studies.
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Assessment methods and criteria
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unspecified
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Recommended literature
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Hendl, J. (2004). Přehled statistických metod zpracování dat: analýza a metaanalýza dat. Praha: Portál.
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Hron, K., & Kunderová, P. (2013). Základy počtu pravděpodobnosti a metod matematické statistiky. Olomouc: Univerzita Palackého v Olomouci.
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Kojecká J. Závodný M., Kojecký T. (2004). .: Úvod do matematiky pro geoinformatiky. Skriptum UP.
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P. Kunderová. (2004). . Úvod do teorie pravděpodobnosti a matematické statistiky (2. vydání). UP Olomouc.
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Rypka, M., Tuček, P. (2013). Matematika pro geocomputation. Univerzita Palackého, Olomouc.
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Simon W. Houlding. (2000). Practical geostatistics : modeling and spatial analysis. Berlin, Springer-Verlag.
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