Lecturer(s)


Rost Michael, doc. Ing. Ph.D.

Course content

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  Onesample parametric tests (onesample ttest, ztest,) 9  twosample parametric tests (ttests, twosample Ftest, test for compliance of relative frequencies) 10  nonparametric variants of onesample and twosample tests 11  planning of experiments, field experiments 12  analysis of variance and related methods (onefactor ANOVA, homoskedasticity tests, KW test, Friedman's test, selected tests of multiple comparisons)

Learning activities and teaching methods

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
 Preparation for classes
 40 hours per semester
 Semestral paper
 35 hours per semester

Learning outcomes

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.

Prerequisites

No prerequisites

Assessment methods and criteria

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.

Recommended literature


Lepš, Jan; Šmilauer, Petr. Biostatistika. České Budějovice : Jihočeská univerzita, Přírodovědecká fakulta, 2014.

Mrkvička, Tomáš; Petrášková, Vladimíra. Úvod do statistiky. 1. vyd. České Budějovice : Jihočeská univerzita v Českých Budějovicích, 2006. ISBN 8070408944.

Zar, Jerrold H. Biostatistical analysis. 4th ed. Upper Saddle River : PrenticeHall, 1999. ISBN 013081542X.
