230096 UE Statistics 1 (2017S)
Prüfungsimmanente Lehrveranstaltung
Labels
ACHTUNG: Diese Lehrverantaltung wird in Englisch abgehalten!
ATTENTION: The course will be held in English!
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").
- Anmeldung von Do 02.02.2017 10:00 bis Mi 22.02.2017 10:00
- Abmeldung bis Mo 20.03.2017 23:59
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
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
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