Universität Wien

290073 VU Introduction to Statistical Analysis for Teacher Candidates (2020S)

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

Summary

1 Haindlmaier , Moodle
2 Schlöglmann , Moodle
3 Hitz , Moodle
4 Hitz , 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

Learning materials willl be found in the Moodle course

  • Monday 02.03. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Monday 09.03. 10:00 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Monday 16.03. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Monday 23.03. 10:00 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Monday 30.03. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Monday 20.04. 10:00 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Monday 27.04. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Monday 04.05. 10:00 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Monday 11.05. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Monday 18.05. 10:00 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Monday 25.05. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Monday 08.06. 10:00 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Monday 15.06. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Monday 22.06. 10:00 - 13:00 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25

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.

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:
-Attendance 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

will be provided on request

Group 2

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Learning materials willl be found in the Moodle course

  • Monday 09.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 16.03. 16:45 - 19:45 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 23.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 30.03. 16:45 - 19:45 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 20.04. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 27.04. 16:45 - 19:45 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 04.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 11.05. 16:45 - 19:45 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 18.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 25.05. 16:45 - 19:45 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 08.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 15.06. 16:45 - 19:45 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 22.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 29.06. 16:45 - 19:45 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33

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.

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.

Group 3

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Learning materials willl be found in the Moodle course

  • Monday 02.03. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 09.03. 15:00 - 18:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 16.03. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 23.03. 15:00 - 18:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 30.03. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 20.04. 15:00 - 18:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 27.04. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 04.05. 15:00 - 18:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 11.05. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 18.05. 15:00 - 18:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 25.05. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 08.06. 15:00 - 18:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 15.06. 15:00 - 16:30 Hörsaal II NIG Erdgeschoß
  • Monday 22.06. 15:00 - 20:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33

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.

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 von 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.

Group 4

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Learning materials willl be found in the Moodle course

  • Monday 02.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 09.03. 18:00 - 21:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 16.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 23.03. 18:00 - 21:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 30.03. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 20.04. 18:00 - 21:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 27.04. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 04.05. 18:00 - 21:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 11.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 18.05. 18:00 - 21:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 25.05. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 08.06. 18:00 - 21:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Monday 15.06. 16:45 - 18:15 Hörsaal II NIG Erdgeschoß
  • Monday 22.06. 15:00 - 20:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33

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.

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 von 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.

Information

Assessment and permitted materials

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

Association in the course directory

(BA UF GW 10)

Last modified: Th 14.11.2024 00:18