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Lecturer(s)
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Rost Michael, doc. Ing. Ph.D.
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Course content
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1 - The introduction to the course, organization of study, requirements, historical context 2 - A statistical software for biological data analysis (R, STATISTICA, Excel) 3 - An introduction to a statistical inference 4 - Basic data set processing (sorting of data, position measures, variability, skewness and sharpness, graphs) 5 - Confidence intervals of selected characteristics and their construction 6 - introduction to testing of hypothesis 7 - Verification of data normality (tests and graphical verification) 8 - One-sample parametric tests (one-sample t-test, z-test,) 9 - two-sample parametric tests (t-tests, two-sample F-test, test for compliance of relative frequencies) 10 - nonparametric variants of one-sample and two-sample tests 11 - planning of experiments, field experiments 12 - analysis of variance and related methods (one-factor ANOVA, homoskedasticity tests, K-W test, Friedman's test, selected tests of multiple comparisons)
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Individual preparation for exam, Practical training
- Preparation for credit
- 40 hours per semester
- Preparation for exam
- 40 hours per semester
- Class attendance
- 56 hours per semester
- Semestral paper
- 35 hours per semester
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Learning outcomes
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The course aims to teach students to process, evaluate and interpret information obtained by measurement or observation using selected basic biostatistical methods.
Student undestands basic principals of probability theory and biostatistics.
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Prerequisites
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No prerequisites
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Assessment methods and criteria
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Combined exam
Active participation is required at the seminars! During the semester students have to pass two tests. If the student earns on average 65 percents after their passing, he/she is deemed to have completed the written part of the final exam. In another case, the student has to pass the written part of the exam with 2/3 success. In either case, the oral part of the final exam follows.
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Recommended literature
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Lepš, Jan; Šmilauer, Petr. Biostatistika. České Budějovice : Jihočeská univerzita, Přírodovědecká fakulta, 2014.
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Mrkvička, Tomáš; Petrášková, Vladimíra. Úvod do statistiky. 1. vyd. České Budějovice : Jihočeská univerzita v Českých Budějovicích, 2006. ISBN 80-7040-894-4.
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Zar, Jerrold H. Biostatistical analysis. 4th ed. Upper Saddle River : Prentice-Hall, 1999. ISBN 0-13-081542-X.
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