Course: Biostatistics I

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Course title Biostatistics I
Course code KGZB/BIOS1
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study 1
Semester Summer
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
  • 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 one-sample parametric tests (one-sample t-test, z-test,?). 9. Two-sample parametric tests (t-tests, two-sample F-test, test for equality of relative frequencies). 10. Nonparametric variants of one-sample and two-sample tests. 11. Planning experiments, field experiments. 12.-14. Analysis of variance and related methods (one-factor ANOVA, homoskedasticity tests, K-W 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.
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 : Springer-Verlag, 2002. ISBN 0-387-95475-9.
  • Lepš, Jan; Šmilauer, Petr. Biostatistika. Vydání 1. České Budějovice : Episteme, nakladatelství Jihočeské univerzity v Českých Budějovicích, 2016. ISBN 978-80-7394-587-9.
  • Meloun, M., Militký J. Zpracování experimentálních dat. Praha: Plus, 1994.
  • Zar, J.H. Biostatistical analysis, 5th edition. Pearson, San Francisco, 2010.

Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester