Universität Wien

230035 VO Statistics 2 (2023W)

Vorlesung mit begleitendem Tutorium

3.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Moodle

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Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 02.10. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 09.10. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 16.10. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 23.10. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 06.11. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 13.11. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 20.11. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 27.11. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 04.12. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 11.12. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 08.01. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 15.01. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
  • Monday 22.01. 09:45 - 11:15 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7

Information

Aims, contents and method of the course

Statistics 2 deals with inferential statistics, that is the generalization from samples to populations. A main focus is on testing hypotheses. 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:
- Probability theory
- Probability distributions and central limit theorem
- Point and interval estimation
- Significance tests
- Statistical fallacies
- Outlook on multivariate analyses

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. Registration is through u:space. The exam will cover material from the lectures as well as the textbook. A calculator as well as a sheet with formulas may be used during the exam. The use of notebooks, smartphones, and similar electronic devices as well as programmable calculators is prohibited. The formula sheet is a handwritten, self-designed A4 sheet (write on both sides) with formulas, notes, etc. Please note that it must be handwritten (i.e. not created with the computer, no slides copied into it).

Minimum requirements and assessment criteria

Positive evaluation at 50% of points.

Examination topics

Lectures and literature

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

Last modified: Th 11.07.2024 11:46