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290091 VU Introduction to Statistics (2023S)
Continuous assessment of course work
Labels
ACHTUNG Nur für Studierende im Bachelor Geographie 2016 nach Absolvierung der StEOP.
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 06.02.2023 09:00 to Mo 20.02.2023 09:00
- Registration is open from We 22.02.2023 09:00 to Mo 27.02.2023 09:00
- Deregistration possible until Fr 31.03.2023 23:59
Details
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Additional Online-Tutorial on 08.03.2023 from 09:00 - 10:30 via Moodle / ZOOM
Visit of the Tutorials is voluntaryMonday, 15.03.2023: Final exam in groups à 90 minutes.- Monday 06.03. 08:00 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 20.03. 09:00 - 10:30 GIS-Labor Geo NIG 1.OG
- Wednesday 22.03. 09:00 - 10:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 27.03. 09:00 - 10:30 GIS-Labor Geo NIG 1.OG
- Wednesday 29.03. 09:00 - 10:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 17.04. 09:00 - 10:30 GIS-Labor Geo NIG 1.OG
- Wednesday 19.04. 09:00 - 10:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 24.04. 09:00 - 10:30 GIS-Labor Geo NIG 1.OG
- Wednesday 26.04. 09:00 - 10:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Wednesday 03.05. 09:00 - 10:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 08.05. 09:00 - 10:30 GIS-Labor Geo NIG 1.OG
- Wednesday 10.05. 09:00 - 10:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 15.05. 09:00 - 10:30 GIS-Labor Geo NIG 1.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
15% Participation
35% Individual Excercises
50% Final Exam - online via Moodle in the computer room.
35% Individual Excercises
50% Final Exam - online via Moodle in the computer room.
Minimum requirements and assessment criteria
Grading is based on the awarding of points. The maximum number of points that can be achieved is 100 points.To be positive, all of the following minimum requirements must be met:
- Ongoing attendance (maximum of 4 SWS absences),
- Submission of 5 individual practice assignments,
- Minimum 15 points on the practice assignments,
- Minimum of 25 points on the final exam,
- Minimum 55 points for the course overall.Grading Key
' >=85 points: very good (S1)
75<85 points: good (G2)
65<75 points: satisfactory (B3)
55<65 points: sufficient (U4)
< 55 points: not sufficient (N5)
- Ongoing attendance (maximum of 4 SWS absences),
- Submission of 5 individual practice assignments,
- Minimum 15 points on the practice assignments,
- Minimum of 25 points on the final exam,
- Minimum 55 points for the course overall.Grading Key
' >=85 points: very good (S1)
75<85 points: good (G2)
65<75 points: satisfactory (B3)
55<65 points: sufficient (U4)
< 55 points: not sufficient (N5)
Examination topics
Exercises with Excel on the different methods.Final exam on theoretical and methodological basics as well as on the interpretation of results.
Reading list
Duller C. (2013): Einführung in die Statistik mit Excel und SPSS. Ein anwendungsorientiertes Lehr- und Arbeitsbuch.
Walford N. (2011): Practical Statistics for Geographers and Earth Scientists.
Zimmermann-Janschitz S. (2014): Statistik in der Geographie. Eine Exkursion durch die descriptive Statistik.
Walford N. (2011): Practical Statistics for Geographers and Earth Scientists.
Zimmermann-Janschitz S. (2014): Statistik in der Geographie. Eine Exkursion durch die descriptive Statistik.
Association in the course directory
(BA GG 5.1)
Last modified: Tu 28.02.2023 11:27
Objectives: Students will
... know central forms and differences of data collection, sampling as well as data summarization in physio- and humangeographical research.
... master the most important functionalities necessary for statistical data analysis with Excel.
... can adequately prepare data for uni- and bivariate analyses in Excel.
... are able to summarize data sets using univariate and bivariate descriptive statistics and prepare them in the form of simple tables, charts and graphs (in Excel).
... know the role of sampling error in hypothesis testing and can perform T-tests and chi-square tests.
... can interpret the results correctly and summarize them in a linguistically understandable way.Method
Partial block course with different formats of integration of lecture and exercise parts: Individual development of content with videos and documents, video instructions for individual performance of basic exercises in Excel, repetition as well as discussion of difficulties and results in the units on site.
To consolidate what has been learned, independently performed exercise work is to be handed in. Additional support for the execution: tutorials.Excel will be used as the program package. The central functionalities of Excel will be taught in a tutorial during the first week.