Universität Wien

290073 VU Introduction to Statistical Analysis for Teacher Candidates (2024S)

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

Summary

1 Schlöglmann , Moodle
2 Hitz , Moodle
3 Haumer , Moodle

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

Der Termin am Montag, 17.6 findet nicht statt!

  • Monday 04.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 11.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 18.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 08.04. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 15.04. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 22.04. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 29.04. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 06.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 13.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 27.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 03.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 10.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 17.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 24.06. 14:00 - 19:00 PC-Raum 1 Schenkenstraße 8-10, 1.UG

Group 2

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Alle Termine sind s.t. zu erstehen!
Anwesenheit in der 1. LV-Einheit zwingend erforderlich, andernfalls Verlust des Fixplatzes.

  • Monday 04.03. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 11.03. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 08.04. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 15.04. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 22.04. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 29.04. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 06.05. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 13.05. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 27.05. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 03.06. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 10.06. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 17.06. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 24.06. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß

Group 3

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Anwesenheit in der 1. LV-Einheit zwingend erforderlich, andernfalls Verlust des Fixplatzes.

  • Thursday 07.03. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 14.03. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 21.03. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 11.04. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 18.04. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 25.04. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 02.05. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 16.05. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 23.05. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 06.06. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 13.06. 08:00 - 09:30 Hörsaal III NIG Erdgeschoß
  • Thursday 20.06. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 27.06. 08:00 - 09:30 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 27.06. 08:00 - 10:00 GIS-Labor Geo NIG 1.OG

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: Sa 15.06.2024 07:46