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Lecturer(s)
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Seinerová Kateřina, Ing.
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Zapletal David, Mgr. Ph.D.
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Linda Bohdan, doc. RNDr. CSc.
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Boháčová Hana, Mgr. Ph.D.
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Course content
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unspecified
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Methods of individual activities, Demonstration, Skills training
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Learning outcomes
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The aim of the course is to teach students how to perform statistical analysis using statistical software.
Students will be able to perform more complex statistical analysis and evaluation in background of software packet Statistica.
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Prerequisites
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The knowledge of probability theory in a range of subject PASI is assumed.
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Assessment methods and criteria
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Written examination, Home assignment evaluation, Didactic test
Assignment - active participation in seminars and elaboration of 2 engaged tasks. Every task must be fullfilled at least 50 %.
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Recommended literature
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HILL, T., LEWICKI, P. Statistics: Methods and Applications.. Tulsa, StatSoft., 2007.
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KUBANOVÁ, J. Statistické metody pro ekonomickou a technickou praxi.. Bratislava, STATIS978-80-85659-47-4, 208.
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Univerzita Pardubice. Ekonomickosprávní fakulta. Sbírka příkladů ze statistiky cvičebnice na CD. Pardubice: University of Pardubice Jan Perner Transport Faculty, 2014. ISBN 978-80-7395-854-1.
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