Universität Wien
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300718 VO Statistics in biology (2020W)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
Moodle

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Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Die Vorlesung findet geblockt in den Monaten Dezember und Jänner statt, jeweils Mittwoch und Donnerstag, 16.45 bis 20.00 h. Erster Termin: 04.12.2019. Ort der Vorlesung ist der Hörsaal 1, Gebäude UZA 1.

  • Wednesday 02.12. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Thursday 03.12. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Wednesday 09.12. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Thursday 10.12. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Wednesday 16.12. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Thursday 17.12. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Thursday 07.01. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Wednesday 13.01. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Thursday 14.01. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Wednesday 20.01. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Thursday 21.01. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Wednesday 27.01. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG
  • Thursday 28.01. 16:45 - 20:00 Hybride Lehre
    Hörsaal 1, UZA 1, Biozentrum Althanstraße 14, 1.008A EG

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.

Lecturing (ONLY!) occurs in the hall HS1. 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

Written test (duration: 1 h).

First exam date: planned for 28th January 2021. Due to the COVID-19 situation, more precise information is currently not available.

Further test dates (beginning, middle and end of summer term 2021) will be announced successively.

Minimum requirements and assessment criteria

50 % of points (maximum possible: 25 points) are required to pass the exam. Exam consists of 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, 2015.

Association in the course directory

BIO 4, EC EA PM3, UF BU 10

Last modified: Fr 12.05.2023 00:24