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Lecturer(s)
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Rost Michael, doc. Ing. Ph.D.
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Houda Michal, Mgr. Ph.D.
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Mrkvička Tomáš, prof. RNDr. Ph.D.
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Berková Ilona, Ing. Ph.D.
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Course content
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Lectures: 1 - introduction to the course, assignments; basic terminology 2 - probability 3 - random variables 4 - distribution 5 - descriptive statistics 6 - estimation and confidence intervals 7 - introduction to hypothesis testing 8 - one sample t-test 9 - independent two sample t-test and paired t-test 10 - one-way ANOVA with fixed effects 11 - comparison among means and multiple comparisons 12 - regression and correlation analysis
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming)
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Learning outcomes
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The aim of course is to introduce students to the basic statistical methods, acquire principles of inductive thinking and teach students to use statistical methods. In a lecture will be used data sets gained form other teachers and departments. Problems to solve will be primarily focused on specialization of students.
Students understand the basic principles of statistical methods and probability. Students are able to carry out hypothesis testing and regression analysis.
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Prerequisites
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The course has no prerequisities.
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Assessment methods and criteria
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Combined exam, Test
Credit Requirements: It is necessary to pass two writing exams. One in the middle of the semester and one as writing exam in the examination period.
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Recommended literature
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Anděl, Jiří. Matematika náhody. Praha : Matfyzpress, 2003, 2003. ISBN 80-86732-07-X.
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Anděl, Jiří. Statistické metody. Praha : Matfyzpress, 2003. ISBN 80-86732-08-8.
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ČERMÁKOVÁ, A., STŘELEČEK. Statistika I. JU v Českých Budějovicích, 2005.
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HENDL, JAN. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Praha, Portál, 2004.
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Mrkvička, T., Petrášková, V.:. Úvod do statistiky, Jihočeská univerzita, České Budějovice, 2006.
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Mrkvička, T., Petrášková, V. Úvod do teorie pravděpodobnosti. České Budějovice, 2008.
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Newbold, P., Clarlson, W., Thorne, B. Statistics for Business and Economics. Prentice Hall, 2010. ISBN 10:0-13-507248-4.
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