Universität Wien

290073 VU Introduction to Statistical Analysis for Teacher Candidates (2025S)

3.00 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

Summary

1 Schlöglmann , Moodle
Mo 19.05. 16:45-18:15 Hörsaal II NIG Erdgeschoß
2 Hitz , Moodle
Mo 19.05. 10:00-13:00 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
3 Haumer , Moodle
Fr 16.05. 08:00-09:30 Hörsaal 5A Geographie NIG 5.OG A0518

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Registration information is available for each group.

Groups

Group 1

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

The lecture on Monday, 10.03.2025 is cancelled!

  • Monday 03.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 17.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 24.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 31.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 07.04. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 28.04. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 05.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 12.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 26.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 02.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 16.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 23.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 30.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß

Group 2

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Alle Termine sind s.t. zu verstehen! Anwesenheit in der 1. Einheit zwingend erforderlich!
Die erste Hälfte der Einheit wird als VO, die zweite Hälfte als UE gestaltet. Für den UE-Teil benötigen die Studierenden ein Notebook mit installiertem Microsoft Excel (siehe https://zid.univie.ac.at/software-fuer-studierende/anleitungen/microsoft-365-fuer-studierende/ ).

  • Monday 03.03. 10:00 - 13:00 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Monday 17.03. 10:00 - 13:00 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Monday 31.03. 10:00 - 13:00 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Monday 05.05. 10:00 - 13:00 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Monday 02.06. 10:00 - 13:00 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum

Group 3

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 07.03. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 14.03. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 21.03. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 28.03. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 04.04. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 11.04. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 02.05. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 09.05. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 23.05. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 06.06. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 13.06. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 27.06. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518

Information

Aims, contents and method of the course

Content: Basic methods for the statistical analysis of survey data with ExcelPart 1. Introduction: data scales, survey data in Excel, statistical analysis with ExcelPart 2. Univariate Statistics 1: Descriptive statistics, Frequency distribution, HistogramPart 3. Univariate Statistics 2: Frequency table, Percentages, GraphsPart 4. Bivariate Statistics 1: Scatterplot, Correlation, RegressionPart 5. Bivariate Statistics 2: Boxplot, Tests, T-TestPart 6. Bivariate Statistics 3: Crosstabulation, Chi-SquareAims:Method: Lecture in class combined with practical exercises in the computer room.

Assessment and permitted materials

Active continuous cooperation (6%), individual exercises (42%), term exam (52%)

Minimum requirements and assessment criteria

Grading is based on the achievement of points, the maximum being 100 points.To pass the course all of the following criteria must be met:• Attendence of the course and practical sessions (only 1 practical session can be missed),• Handing in of at least 5 individual exercises• A minimum of at least 21 points on the individual exercises• A minimum of 26 points on the final exam• A minimum of 51 points in totalBenotungsschlüssel> 87,5 points: A> 75,0 to 87,5 points: B> 62,5 to 75,0 points: C> 50,0 to 62,5: points: D <= 50,0 points: E

Examination topics

Fragen zum in der Vorlesung behandelten StoffInterpretation der Ergebnisse der durchgeführten Analysen

Reading list

Duller, C. (2013): Einführung in die Statistik mit Excel und SPSS. Ein anwendungsorientiertes Lehr- und Arbeitsbuch. Springer.Matthäus, W.-G. und Schulze J. (2011): Statistik mit Excel. Beschreibende Statistik für Jedermann. Vieweg+Teubner.

Association in the course directory

(BA UF GW 10)

Last modified: Mo 10.03.2025 16:06