Universität Wien

240066 UE MM1 - Methoden der quantitativen Sozialforschung (2018W)

5.00 ECTS (2.00 SWS), SPL 24 - Kultur- und Sozialanthropologie
Prüfungsimmanente Lehrveranstaltung
Moodle

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: Deutsch, Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Montag 08.10. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Montag 22.10. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Montag 05.11. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Montag 19.11. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Montag 03.12. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Montag 07.01. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Montag 21.01. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This is an introduction to applied statistics. The main goal of the course is for students to develop the necessary foundations and skills to implement quantitative empirical research independently. Students are required to make "hands-on" applications of the material studied in the course. Main topics of the course are (1) descriptive statistics, (2) probability, (3) random variables, (4) inference, (5) regression analysis.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Students will be marked according to 3 different homeworks (20% each) and a final project (40%). Failure to hand in any of these implies a negative evaluation of the course.

Mindestanforderungen und Beurteilungsmaßstab

Students should prove a good command of all the course's topics.

Prüfungsstoff

Descriptive statistics, probability, random variables, inference, regression analysis.

Literatur

The course has been prepared with

Newbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition. (NCT)

Other introductory statistics textbooks are likely to provide very similar treatments.

Many examples have been borrowed from the following (rather entertaining) books:

1. Charles Wheelan (2013): Naked Statistics. Stripping the Dread from the Data, W.W. Norton.

2. Leonard Mlodinow (2008): The Drunkard'S Walk. How Randomess Rules Our Lives, Pantheon Books.

3. Nate Silver (2012): The Signal and the Noise. Why So Many Predictions Fail, But Some Don't, Penguin Books. 
I. Introduction

William Easterly (2009): "The Anarchy of Success," The New York Review of Books, 56(15), October.

II. Descriptive statistics

NCT: Chapters 1 and 2.

III. Probability

NCT: Chapter 3.

IV. Random variables

NCT: Chapters 4-6.

V. Inference

NCT: Chapters 7-10.

VI. Regression Analysis

NCT: Chapters 11-13.

Zuordnung im Vorlesungsverzeichnis

MM1

Letzte Änderung: Mo 07.09.2020 15:39