Lecturer(s)


Rost Michael, doc. Ing. Ph.D.

Course content

Contents of blocks of lectures and exercises: 1. Introduction to the course, organization of study, requirements for the student, historical context. 2. Statistical software for analysis of biological data (R, STATISTICA, Excel). 3. Introduction to statistical inference. 4. Basic data set processing (data sorting, position measures, variability measures, skewness and sharpness, graphs). 5. Confidence intervals of selected characteristics and their construction. 6. Introduction to hypothesis testing. 7. Verification of data normality (tests and graphical verification). 8. Selected onesample parametric tests (onesample ttest, ztest,?). 9. Twosample parametric tests (ttests, twosample Ftest, test for equality of relative frequencies). 10. Nonparametric variants of onesample and twosample tests. 11. Planning experiments, field experiments. 12.14. Analysis of variance and related methods (onefactor ANOVA, homoskedasticity tests, KW test, Friedman's test, selected multiple comparison tests).

Learning activities and teaching methods

Monologic (reading, lecture, briefing)
 Preparation for classes
 30 hours per semester
 Preparation for credit
 30 hours per semester
 Preparation for exam
 40 hours per semester
 Class attendance
 50 hours per semester

Learning outcomes

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.
Students understand the basic principles of statistical methods and probability. They are able to perform basic data processing and test statistical hypotheses.

Prerequisites

This subject has no prerequisites.

Assessment methods and criteria

Combined exam
Active participation on lessons and exercises, or participation in seminars. Fulfillment of assigned tasks according to the teacher's instructions.

Recommended literature


Anděl, J. Statistické metody. Praha: MATFYZPRESS, 1993..

Dalgaard, Peter. Introductory statistics with R. New York : SpringerVerlag, 2002. ISBN 0387954759.

Lepš, Jan; Šmilauer, Petr. Biostatistika. Vydání 1. České Budějovice : Episteme, nakladatelství Jihočeské univerzity v Českých Budějovicích, 2016. ISBN 9788073945879.

Meloun, M., Militký J. Zpracování experimentálních dat. Praha: Plus, 1994.

Zar, J.H. Biostatistical analysis, 5th edition. Pearson, San Francisco, 2010.
