300718 VO Statistics in biology (2023W)
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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
Thursday
01.02.2024
16:45 - 20:00
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Friday
01.03.2024
16:45 - 20:00
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Wednesday
17.04.2024
16:45 - 20:00
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
N
Friday
21.06.2024
15:00 - 18:20
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, 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
06.12.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Thursday
07.12.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Wednesday
13.12.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Thursday
14.12.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Wednesday
10.01.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Thursday
11.01.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Wednesday
17.01.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Thursday
18.01.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Wednesday
24.01.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Thursday
25.01.
16:45 - 19:15
Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
Wednesday
31.01.
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!
Assessment and permitted materials
Exam in writing. No literature, personal notes, or electronic devices like tablets or laptops may be used during the exam.
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 Bio- und Umweltwissenschaftler. Pearson Studium, 2020.
Hedderich, J., & Sachs, L. Angewandte Statistik: Methodensammlung mit R. Springer-Verlag, 2018.
Hints to relevant textbooks in English language can be provided upon request by the lecturer.
Hedderich, J., & Sachs, L. Angewandte Statistik: Methodensammlung mit R. Springer-Verlag, 2018.
Hints to relevant textbooks in English language can be provided upon request by the lecturer.
Association in the course directory
BIO 4, EC EA PM3, UF BU 10
Last modified: Th 18.01.2024 14:26