Universität Wien

290170 PS Introduction to Statistical Analysis for Teacher Candidates, Group C (2018S)

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

Details

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 09.03. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 16.03. 10:00 - 14:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Friday 23.03. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 13.04. 10:00 - 14:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Friday 20.04. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 27.04. 10:00 - 14:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Friday 04.05. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 18.05. 10:00 - 14:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Friday 25.05. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 08.06. 10:00 - 14:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Friday 15.06. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
  • Friday 22.06. 10:00 - 14:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Friday 29.06. 10:00 - 12:00 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 Excel
Part 1. Introduction: data scales, survey data in Excel, statistical analysis with Excel
Part 2. Univariate Statistics 1: Descriptive statistics, Frequency distribution, Histogram
Part 3. Univariate Statistics 2: Frequency table, Percentages, Graphs
Part 4. Bivariate Statistics 1: Scatterplot, Correlation, Regression
Part 5. Bivariate Statistics 2: Boxplot, Tests, T-Test
Part 6. Bivariate Statistics 3: Crosstabulation, Chi-Square
Aims:
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 total
Benotungsschlüssel
> 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 Stoff
Interpretation 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

(L1-d3) (BA UF GW 10)

Last modified: Mo 07.09.2020 15:42