Universität Wien

300718 VO Statistics in biology (2024W)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie

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

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.

Depending on the number of participants, the examinations may be held in two rounds. Registered students will be informed in an email before the exam.

  • Wednesday 04.12. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Thursday 05.12. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Wednesday 11.12. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Thursday 12.12. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Wednesday 08.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Thursday 09.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Wednesday 15.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Thursday 16.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Wednesday 22.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Thursday 23.01. 16:45 - 19:15 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Wednesday 29.01. 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. The examo comprises 19 multiple choice questions plus 3 items where answers have to be completed by the student.

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.

Association in the course directory

BIO 4, EC EA PM3, UF BU 10

Last modified: Mo 28.04.2025 14:06