Bi5560 Basics of statistics for biologists

Faculty of Science
Autumn 2018
Extent and Intensity
2/1/0. 3 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
Mgr. Kateřina Kintrová, Ph.D. (lecturer)
prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
Guaranteed by
prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: Mgr. Kateřina Kintrová, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science
Timetable
Mon 24. 9. to Fri 14. 12. Mon 15:00–16:50 B11/305
  • Timetable of Seminar Groups:
Bi5560/01: Mon 17. 9. to Fri 14. 12. Tue 12:00–12:50 B09/316, K. Kintrová
Bi5560/02: Mon 17. 9. to Fri 14. 12. Tue 13:00–13:50 B09/316, K. Kintrová
Prerequisites
None.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim is to teach students basic statistical methods for the analysis of their own data.
Learning outcomes
Students will be able to: - define explanatory and response variables - define statistical hypothesis - visualise data and parameter estimates - select appropriate statistical method for analysis of their data - interpret results
Syllabus
  • 1. Introduction: basic characteristics of data, stochastic variable; 2. Estimation of sample parameters, some of the probability distributions; 3. Statistical hypotheses; 4. Tests of assumptions, parametric and non-parametric methods; 5. One-sample tests; 6. Two-sample tests; 7. Several-sample tests, ANOVA; 8. Correlation; 9. Linear regression; 10. Chi-square tests, contingency tables.
Literature
    recommended literature
  • Zvára K. 2004. Biostatistika. Karolinum, UK Praha.
  • Zar JH. 1998. Biostatistical analysis. Prentice Hall, London.
  • LEPŠ, Jan and Petr ŠMILAUER. Biostatistika. Vydání 1. České Budějovice: Nakladatelství Jihočeské univerzity v Českých Budějovicích, 2016, 438 stran. ISBN 9788073945879. info
Teaching methods
Lectures, commentated examples; practical processing of data in software R, homework. It is recommended to visit parallelly the subject Introduction to R (Bi7560), as there is no time to explain the syntax of R commands within the statistical lessons.
Assessment methods
Autumn 2019: colloquium. Homeworks given during the semester to exercise covered topic. Examination will be conceived as a personal interview over these homeworks to confirm that the student understands the methods.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2019, Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2018, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2018/Bi5560