Universität Wien

234012 VO Statistics for Social Scientists 1 (Lecture) (2023W)

4.00 ECTS (2.00 SWS), SPL 23 - Soziologie
VOR-ORT

An/Abmeldung

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

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Prüfungstermine

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Mittwoch 06.12. 15:00 - 18:15 PC-Seminarraum 3, Kolingasse 14-16, OG02
  • Dienstag 12.12. 15:00 - 18:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 16.01. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 23.01. 15:00 - 18:15 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Freitag 26.01. 09:45 - 13:00 PC-Seminarraum 3, Kolingasse 14-16, OG02

Information

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 ONE written exams about the topics discussed in the lecture- a final exam to take place during the final session of the course (100 %).

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)

Prüfungsstoff

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

Literatur

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

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 16.09.2024 14:06