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Lecturer(s)
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Myslivec Jaroslav, Ing. 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), Dialogic (discussion, interview, brainstorming), Methods of individual activities
- Practical training
- 13 hours per semester
- Contact teaching
- 13 hours per semester
- Home preparation for classes
- 39 hours per semester
- Preparation for a credit (assessment)
- 30 hours per semester
- Preparation for an exam
- 55 hours per semester
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Learning outcomes
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Students will be able to understand the problems and to use the gained knowledge in the analysis of statistical data and when working with statistical software.
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Prerequisites
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unspecified
KVV/BSTA1
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Assessment methods and criteria
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Oral examination, Written examination
Written examination + oral examination. Attendance 80%.
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Recommended literature
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GIBLISCO, S. Statistika bez předchozích znalostí. Brno, 2009.
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KOŽUH, B.; MYSLIVEC, J. Nebojme se SPSS aneb jak s humanitním vzděláním na statistickou analýzu. Pardubice, 2014.
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KUBANOVÁ, J.; LINDA, B. Sbírka příkladů z pravděpodobnosti. Bratislava, 2009.
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MELOUN, M; MILITKÝ, J. Kompendium statistického zpracování dat. Praha, 2013.
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MYSLIVEC, J. Vizualizace vícerozměrných dat. Pardubice, 2012.
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SWOBODA,H. Moderní statistika.. Praha: Svoboda, 1977.
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