Universität Wien

230096 UE Statistics 1 (2017S)

3.00 ECTS (1.50 SWS), SPL 23 - Soziologie
Prüfungsimmanente Lehrveranstaltung

ACHTUNG: Diese Lehrverantaltung wird in Englisch abgehalten!
ATTENTION: The course will be held in English!

An/Abmeldung

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

Details

max. 40 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Donnerstag 02.03. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 09.03. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 16.03. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 23.03. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 30.03. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 06.04. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 27.04. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 04.05. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 11.05. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 18.05. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 01.06. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 08.06. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 22.06. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock
Donnerstag 29.06. 10:45 - 12:00 Inst. f. Soziologie, Seminarraum 1, Rooseveltplatz 2, 1.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This statistics course will introduce you to fundamental statistical procedures, such as descriptive statistics, needed to understand concepts and analyze quantitative data used in the social sciences (e.g., psychology, sociology, political science, social work, education, etc.). This course is a supplement for Statistics I (taught by Dr. Marcus Hudec), emphasizing an analytical understanding and mathematical computational approach. At the end of the course students will be able to understand basic statistics, as well as solve basic statistical problems. This course is a foundation course for advanced statistics.

Student Learning Outcomes: Upon completing this course, students will demonstrate understanding of the key elements in introductory behavioral statistical analysis. Students will be able to understand and compute measures of central tendency and variability, various measures of associations, as well as demonstrate an understanding of basic analysis of variance and basic probability. Students will show their understanding of the course material through successful performance on homework exercises, assessment exams, as well as in-class discussions.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Homework Exercises 30%
First Exam 25%
Final Exam 25%
Class Participation 20%

All assignments need to be completed and handed in on time in order to pass the course.

Permitted materials for exams:
Calculator
Formula sheet

Mindestanforderungen und Beurteilungsmaßstab

Homework Exercises 30%
First Exam 25%
Final Exam 25%
Class Participation 20%

All assignments need to be completed and handed in on time in order to pass the course.

1 - Sehr gut 90% or more
2 - Gut 80% - 89%
3 - Befriedigend 70% - 79%
4 - Genügend 60% - 69%
5 - Nicht genügend 59% or less

Prüfungsstoff

Literatur


Zuordnung im Vorlesungsverzeichnis

in 505: BA M2 Statistik 1

Letzte Änderung: Mo 07.09.2020 15:39