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290073 VU Introduction to Statistical Analysis for Teacher Candidates (2021S)
Continuous assessment of course work
Labels
Summary
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 is open from Mo 08.02.2021 11:00 to Mo 22.02.2021 10:00
- Deregistration possible until We 31.03.2021 23:59
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
digitale und voraussichtlich ab 2. Semesterhälfte hybride (teils digitale / teils vor Ort) Durchführung
-
Monday
08.03.
11:30 - 13:00
Digital
Hörsaal III NIG Erdgeschoß -
Monday
15.03.
11:30 - 13:00
Digital
Hörsaal III NIG Erdgeschoß -
Monday
12.04.
11:30 - 13:00
Digital
Hörsaal III NIG Erdgeschoß -
Monday
26.04.
11:30 - 13:00
Digital
Hörsaal III NIG Erdgeschoß -
Monday
10.05.
11:30 - 13:00
Digital
Hörsaal III NIG Erdgeschoß -
Monday
07.06.
11:30 - 13:00
Digital
Hörsaal III NIG Erdgeschoß -
Monday
21.06.
11:30 - 13:00
Digital
Hörsaal III NIG Erdgeschoß
Aims, contents and method of the course
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
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
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.
Oestreich/Romberg (2009): Keine Panik vor Statistik!
Matthäus, W.-G. und Schulze J. (2011): Statistik mit Excel. Beschreibende Statistik für Jedermann. Vieweg+Teubner.
Oestreich/Romberg (2009): Keine Panik vor Statistik!
Group 2
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
digitale und voraussichtlich ab 2. Semesterhälfte hybride (teils digitale / teils vor Ort) Durchführung
-
Monday
01.03.
16:45 - 18:15
Digital
Hörsaal II NIG Erdgeschoß - Monday 08.03. 16:45 - 18:15 Digital
-
Monday
15.03.
16:45 - 18:15
Digital
Hörsaal II NIG Erdgeschoß - Monday 22.03. 16:45 - 18:15 Digital
-
Monday
12.04.
16:45 - 18:15
Digital
Hörsaal II NIG Erdgeschoß - Monday 19.04. 16:45 - 18:15 Digital
-
Monday
26.04.
16:45 - 18:15
Digital
Hörsaal II NIG Erdgeschoß - Monday 03.05. 16:45 - 18:15 Digital
-
Monday
10.05.
16:45 - 18:15
Digital
Hörsaal II NIG Erdgeschoß - Monday 17.05. 16:45 - 18:15 Digital
- Monday 31.05. 16:45 - 18:15 Digital
-
Monday
07.06.
16:45 - 18:15
Digital
Hörsaal II NIG Erdgeschoß - Monday 14.06. 16:45 - 18:15 Digital
-
Monday
21.06.
16:45 - 18:15
Digital
Hörsaal II NIG Erdgeschoß - Monday 28.06. 16:45 - 18:15 Digital
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.
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
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
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.
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
digitale und voraussichtlich ab 2. Semesterhälfte hybride (teils digitale / teils vor Ort) Durchführung
Alle Termine sind s.t. zu verstehen!
-
Thursday
04.03.
15:00 - 16:30
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 11.03. 15:00 - 16:30 Digital
-
Thursday
18.03.
15:00 - 16:30
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 25.03. 15:00 - 16:30 Digital
-
Thursday
15.04.
15:00 - 16:30
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 22.04. 15:00 - 16:30 Digital
-
Thursday
29.04.
15:00 - 16:30
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 06.05. 15:00 - 16:30 Digital
-
Thursday
20.05.
15:00 - 16:30
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 27.05. 15:00 - 16:30 Digital
-
Thursday
10.06.
15:00 - 16:30
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 17.06. 15:00 - 16:30 Digital
-
Thursday
24.06.
15:00 - 16:30
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 01.07. 15:00 - 16:30 Digital
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.
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
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
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.
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
digitale und voraussichtlich ab 2. Semesterhälfte hybride (teils digitale / teils vor Ort) Durchführung
Alle Termine sind s.t. zu verstehen!
-
Thursday
04.03.
16:45 - 18:15
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 11.03. 16:45 - 18:15 Digital
-
Thursday
18.03.
16:45 - 18:15
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 25.03. 16:45 - 18:15 Digital
-
Thursday
15.04.
16:45 - 18:15
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 22.04. 16:45 - 18:15 Digital
-
Thursday
29.04.
16:45 - 18:15
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 06.05. 16:45 - 18:15 Digital
-
Thursday
20.05.
16:45 - 18:15
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 27.05. 16:45 - 18:15 Digital
-
Thursday
10.06.
16:45 - 18:15
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 17.06. 16:45 - 18:15 Digital
-
Thursday
24.06.
16:45 - 18:15
Digital
Seminarraum 5, Kolingasse 14-16, EG00 - Thursday 01.07. 15:00 - 16:30 Digital
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.
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
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
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.
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: Fr 12.05.2023 00:22
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 combined with practical exercises