Universität Wien

230035 VO Statistics 1 (2023S)

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 06.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 20.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 27.03. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 17.04. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 24.04. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 08.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 15.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 22.05. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 05.06. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 12.06. 09:45 - 11:15 Hörsaal I NIG Erdgeschoß
  • Monday 19.06. 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. Registration is through u:space. A calculator and a sheet with formulas may be used during the exam. 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

Minimal requirement: Positive evaluation at 50% of points.

Examination topics

The exam will cover material from the lectures as well as the textbook. The lecture slides will be made available through moodle.

Reading list

Basisliteratur:
Ludwig-Mayerhofer, Wolfgang, Uta Liebeskind und Ferdinand Geißler (2014). Statistik. Eine Einführung für Sozialwissenschaftler. Weinheim und Basel: Beltz Juventa (Kapitel 1-3 und 5).

Association in the course directory

in 505: BA M2 VO Statistik 1

Last modified: Mo 22.01.2024 15:06