Universität Wien
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230090 VO Statistics 1 (2020S)

Vorlesung mit begleitendem Tutorium

3.00 ECTS (2.00 SWS), SPL 23 - Soziologie

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

  • Monday 02.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 09.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 16.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 23.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 30.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 20.04. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 27.04. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 04.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 11.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 18.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 25.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 08.06. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 15.06. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 22.06. 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 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
- Outlook on statistical inference and multivariate relationships

The lecture is accompanied by exercises and a tutorial.

Assessment and permitted materials

*** The exam will be held via Moodle online. The exam will take 90 minutes and has to be completed within the two hour time frame stated for each exam. Details are available in Moodle. ***

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. The textbook is available through u:access, the lecture slides will be made available through moodle. A calculator may be used during the exam.

Minimum requirements and assessment criteria

Minimal requirement changed: Positive evaluation at 50% of points.

Examination topics

See syllabus

Reading list

Additional readings:
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. and Krebs, Dagmar (2012). Statistik für die Sozialwissenschaften. Grundlagen, Methoden, Anwendungen. 6. Auflage. Reinbek: Rowohlt.

Association in the course directory

Last modified: Fr 12.05.2023 00:20