300718 VO Statistics in biology (2022W)
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Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: German
Examination dates
- Wednesday 01.02.2023 13:15 - 16:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
- Thursday 16.03.2023 13:15 - 16:30 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
- Friday 05.05.2023 15:00 - 18:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
- Friday 30.06.2023 09:45 - 13:00 Hörsaal 2, Biologie Djerassiplatz 1, 0.033, Ebene 0
Lecturers
Classes (iCal) - next class is marked with N
Please note the limited seating capacity of the lecture hall (approx. 390). The lecture will be streamed live into the WWW and can be followed from every place with internet connection. Moreover, streams of all lecturing units will be stored and provided via the Moodle platform, for later use.
- Wednesday 07.12. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
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Tuesday
20.12.
09:45 - 13:00
Digital
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0 -
Wednesday
21.12.
09:45 - 13:00
Digital
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0 - Wednesday 11.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
- Thursday 12.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
- Wednesday 18.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
- Thursday 19.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
- Wednesday 25.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
- Thursday 26.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Information
Aims, contents and method of the course
This course lays out the principles of obtaining and analyzing representative quantitative data in biology, with focus on elementary (univariate) statistical methods. Covered procedures include the t-test, ANOVA, analysis of contingency tables, correlation methods, and ordinary least-squares linear regression analysis. Wherever appropriate, rank-based alternatives to 'classical' frequentist test approaches are presented for comparison.Lectures will be recorded using u:stream. These records plus all slides will be made available to all registered students via Moodle. Accordingly, there will be no disadvantage to students who cannot personally attend the lectures. Please carefully watch the limitation in available seat numbers due to COVID-19 regulations! Please also note that procedures may need to be adapted on very short notice, if required, due to unforeseeable changes in COVID-19 regulations.
Assessment and permitted materials
Exam in writing.
Minimum requirements and assessment criteria
50 % of points (maximum possible: 25 points) are required to pass the exam. The exam consists of a multiple-choice part (19 questions; maximum: 19 points) and three questions where text items need to be filled out in writing (maximum: 6 points).
Examination topics
Contents of lecture units.
Reading list
Matthias Rudolf & Wiltrud Kuhlisch: Biostatistik - eine Einführung für Biowissenschaftler. Pearson Studium, 2008.
Hedderich, J., & Sachs, L. Angewandte Statistik: Methodensammlung mit R. Springer-Verlag, 2018.
Hedderich, J., & Sachs, L. Angewandte Statistik: Methodensammlung mit R. Springer-Verlag, 2018.
Association in the course directory
BIO 4, EC EA PM3, UF BU 10
Last modified: Th 11.05.2023 11:28