Bi5560 Basics of statistics for biologists II

Faculty of Science
Autumn 2024
Extent and Intensity
2/1/0. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
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: 13/56, only registered: 21/56, only registered with preference (fields directly associated with the programme): 20/56
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.
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)
The course is taught annually.
Listed among pre-requisites of other courses
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.
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.
The course is also listed under the following terms Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023.
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