Universität Wien

230035 VO Statistics 1 (2022S)

Vorlesung mit begleitendem Tutorium

3.00 ECTS (2.00 SWS), SPL 23 - Soziologie

Covid19 Information zum Unibetrieb - aktuelle Bestimmungen:
https://www.univie.ac.at/ueber-uns/weitere-informationen/coronavirus/?pk_campaign=HomeDE&pk_kwd=Covid-Infolink

Rahmenbedingungen für digitale Prüfungen (Soziologie) https://soziologie.univie.ac.at/info/digpruef/

Allgemeiner Hinweis: Für die Teilnahme an Lehrveranstaltungen in digitaler Form sind eine - möglichst stabile - Internetverbindung und die technischen Möglichkeiten erforderlich, um an Online-Einheiten partizipieren zu können (Computer, Mikro, ggf. Webcam).
Moodle

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).
Register/Deregister for this course

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 07.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 14.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 21.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 28.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 04.04. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 25.04. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 02.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 09.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 16.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 23.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 30.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 13.06. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 20.06. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß

Information

Aims, contents and method of the course

Statistics 1 deals with descriptive statistics, that is the basic methods and strategies for analysing and interpreting quantitative data. A main focus is on assessing relationships between two variables. The aim of the lecture is to convey statistical knowledge which enables students to analyse data independently and to critically evaluate published results.
The lecture focuses on those methods that are commonly used in sociology. The examples are oriented at current sociological research and are usually based on the European Social Survey.

The following topics are covered in the lecture:
- Sampling and measurement
- Univariate frequency counts
- Measures of central tendency and dispersion
- Cross tables
- Graphical representation
- Measures of association for nominal, ordinal and interval data
- Statistical fallacies
- Big data

The lecture is accompanied by exercises and a tutorial.

Assessment and permitted materials

There will be a written exam at the end of the semester (depending on the Covid situation either via Moodle online or in the lecture hall). Registration is through u:space. The exam will cover material from the lectures as well as the textbook. The lecture slides will be made available through moodle. A calculator and a sheet with formulas may be used during the exam (should the exam take place in the lecture hall).

Minimum requirements and assessment criteria

Minimal requirement: Positive evaluation at 50% of points.

Examination topics

See syllabus

Reading list

Weiterführende Literatur:
Agresti, Alan (2018). Statistical Methods for the Social Sciences. 5. Auflage. New Jersey: Pearson.
Bühner, Markus und Matthias Ziegler (2017). Statistik für Psychologen und Sozialwissenschaftler. 2. Auflage. Hallbergmoos: Pearson.
Diaz-Bone, Rainer (2019). Statistik für Soziologen. 5. Auflage. München: UVK Verlag.
Kühnel, Steffen M. und Krebs, Dagmar (2012). Statistik für die Sozialwissenschaften. Grundlagen, Methoden, Anwendungen. 6. Auflage. Reinbek: Rowohlt.

Association in the course directory

in 505: BA M2 VO Statistik 1

Last modified: Tu 21.02.2023 18:09