PřF:Bi5560 Basic statistics for biol. II - Course Information
Bi5560 Basics of statistics for biologists II
Faculty of ScienceAutumn 2024
- Extent and Intensity
- 2/1/0. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
In-person direct teaching - Teacher(s)
- Mgr. Kateřina Kintrová, Ph.D. (lecturer)
Mgr. Lenka Baranovičová (assistant) - Guaranteed by
- Mgr. Kateřina Kintrová, 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 of Seminar Groups
- Bi5560/01: Mon 11:00–13:50 B09/316, K. Kintrová
Bi5560/02: Thu 9:00–11:50 B09/316, K. Kintrová - Prerequisites
- Bi7560 Introduction to R || SOUHLAS
This course is taught in the Czech language and because of the large extent of course content it is not possible to accept English-speaking students. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 56 student(s).
Current registration and enrolment status: enrolled: 35/56, only registered: 1/56, only registered with preference (fields directly associated with the programme): 1/56 - fields of study / plans the course is directly associated with
- Ecological and Evolutionary Biology (programme PřF, B-EKB)
- 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.
- Teaching methods
- Lectures, commentated examples; practical processing of data in software R, homework.
- Assessment methods
- Oral examination. 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 (probably available only in Czech)
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- Bi7540 Data analysis in community ecology
Bi5560 && !Bi7542 - Bi7542 Data analysis in community ecology
(Bi5560 || Bi6050) && !Bi7540 - Bi7550 Practical Analysis of Biological Data – Seminar
Bi5560 || Bi6050 - Bi7920 Analysis of biological data
Bi5040||Bi5560 - Bi7921 Advanced methods of analysis of biological data
(Bi5040||Bi5560) && Bi7920
- Bi7540 Data analysis in community ecology
- Teacher's information
- https://is.muni.cz/auth/do/sci/UBZBiol/um/zsb/index.html
There is the collection of solved examples from statistics for biologists on the website.Consultation hours are listed for Thursday and Friday and can be booked at the address
https://is.muni.cz/tudle/wvfr Up to autumn 2026, the course contains a joint content of Bi2560 and Bi5560. Since autumn 2027 it follows separate course Bi2560, which students take in the 1st year since the spring semester 2025.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/autumn2024/Bi5560