Universität Wien FIND

230236 VO Statistics for Social Scientists 1 (Lecture) (2021W)

4.00 ECTS (2.00 SWS), SPL 23 - Soziologie


Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").


max. 30 Teilnehmer*innen
Sprache: Englisch



Termine (iCal) - nächster Termin ist mit N markiert

Dienstag 30.11. 10:00 - 12:00 Digital
Freitag 03.12. 10:00 - 12:00 Digital
Dienstag 07.12. 10:00 - 12:00 Digital
Freitag 10.12. 10:00 - 12:00 Digital
Dienstag 14.12. 10:00 - 12:30 Digital
Freitag 17.12. 10:00 - 12:00 Digital
Dienstag 11.01. 10:00 - 12:00 Digital
Freitag 14.01. 10:00 - 12:00 Digital
Dienstag 18.01. 10:00 - 12:00 Digital
Freitag 21.01. 10:00 - 12:00 Digital
Dienstag 25.01. 10:00 - 12:00 Digital


Ziele, Inhalte und Methode der Lehrveranstaltung

This course is intended to provide the foundations of statistical techniques commonly implemented in social sciences. In addition, the refresher course aims at achieving a common standard in statistical methods among students, and help prepare for more advanced quantitative courses.
The course will start by introducing students with basic concepts, notations, and techniques of summarizing and presenting data in a meaningful way. The second part will focus probability and probability distributions. The third part of the course will deal with the basic problem of statistical analysis-how we make general statements about the `phenomenon itself' from observed data. It will include likelihood functions, hypothesis testing, confidence intervals and ordinary linear regressionanalysis.
METHODS: The teaching method mainly involves classroom lectures where the instructor will explain intuitions and concepts with worked examples.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Successful completion of this lecture-based course will be evaluated by two written exams about the topics discussed in the lecture, (i) midterm exam (40 %), (ii) a final exam to take place during the final session of the course (60 %).

Mindestanforderungen und Beurteilungsmaßstab

The examination for the lecture will be graded on a basis of 100 points in total:
[87%-100%]: Excellent (1)
[75%-86%]: Good (2)
[63%-74%]: Satisfactory (3)
[50%-62%]: Sufficient (4)
<50%: Unsatisfactory (5)


• Content of the lectures and suggested take-home exercises
• Assigned reading materials and book chapters


Lindsey J.K. (2004). Introduction to Applied Statistics. A Modelling Approach. Oxford University Press, Second Edition
Statistical Methods for the Social Sciences (5th Edition), Agresti
Introductory Econometrics: A Modern Approach (5th ed.), JM Wooldridge
When necessary, other material will be indicated during the course.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Di 14.06.2022 14:09