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Lecturer(s)
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Čoudková Veronika, Mgr. Ph.D.
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Rost Michael, doc. Ing. Ph.D.
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Course content
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Contents of blocks of lectures and exercises: 1. Introduction to the course, organization of study, requirements for the student, historical context. Statistical software for analysis of biological data (R, STATISTICA, Excel). Introduction to statistical inference. Basic data set processing (data sorting, position measures, variability, skewness and sharpness, graphs). Confidence intervals of selected characteristics and their construction. 2. Introduction to hypothesis testing. Verification of data normality (tests and graphical verification). Some of one-sample parametric tests (one-sample t-test, z-test). Two-sample parametric tests (t-tests, two-sample F-test, test for compliance of relative frequencies). 3. Nonparametric variants of one-sample and two-sample tests. Planning experiments, field experiments. Analysis of variance and related methods (one-factor ANOVA, homoskedasticity tests, K-W test, Friedman's test, selected multiple comparison tests).
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing)
- Preparation for credit
- 30 hours per semester
- Preparation for exam
- 50 hours per semester
- Class attendance
- 12 hours per semester
- Preparation for classes
- 58 hours per semester
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Learning outcomes
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The aim of the course is to teach students to process, evaluate and interpret information obtained by measurement or observation through selected basic biostatistical methods applicable in agricultural disciplines.
Students understand the basic principles of statistical methods and probability. They are able to perform basic data processing and test statistical hypotheses.
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Prerequisites
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Basic knowledge of mathematical methods and computer work.
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Assessment methods and criteria
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Combined exam
Active student participation in seminars. Passing credit test (success rate over 70%).
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Recommended literature
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Anděl, Jiří. Statistické metody. 1. vyd. Praha : Matfyzpress, 1993.
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Dalgaard, Peter. Introductory statistics with R. New York : Springer-Verlag, 2002. ISBN 0-387-95475-9.
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Lepš, Jan; Šmilauer, Petr. Biostatistika. České Budějovice : Episteme, nakladatelství Jihočeské univerzity v Českých Budějovicích, 2016. ISBN 978-80-7394-587-9.
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Meloun, Milan; Militký, Jiří. Statistické zpracování experimentálních dat : [v chemometrii, biometrii, ekonometrii a v dalších oborech přírodních, technických a společenských věd]. 1. vyd. Praha : Plus, 1994. ISBN 80-85297-56-6.
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Zar, Jerrold H. Biostatistical analysis. 5th ed. Upper Saddle River : Prentice-Hall/Pearson, 2010. ISBN 978-0-13-100846-5.
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