Universität Wien
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290091 VU Introduction to Statistics (2024S)

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

ACHTUNG Nur für Studierende im Bachelor Geographie 2016 nach Absolvierung der StEOP.
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

Lecture Units (mandatory attendance):

Monday, 04.03.2024, 08:00 - 11:15 (Introduction 0): Lecture Hall 5A A0518
Monday, 11.03.2024, 09:45 - 11:15 (Exercise 1): Lecture Hall 5A A0518
Monday, 18.03.2024, 09:45 - 11:15 (Exercise 2): GIS Lab C0109
Monday, 08.04.2024, 09:45 - 11:15 (Exercise 3): Lecture Hall 5A A0518
Monday, 15.04.2024, 09:45 - 11:15 (Exercise 4): Lecture Hall 5A A0518
Monday, 22.04.2024, 09:45 - 11:15 (Exercise 5): Lecture Hall 5A A0518

Tutorials (Voluntary):
Thursday, 07.03.2024, 09:45 - 11:15 (Excel Course): GIS Lab C0109
Thursday, 14.03.2024, 09:45 - 11:15 (Tutorial for Exercise 1): GIS Lab C0109
Thursday, 21.03.2024, 09:45 - 11:15 (Tutorial for Exercise 2): GIS Lab C0109
Thursday, 11.04.2024, 09:45 - 11:15 (Tutorial for Exercise 3): GIS Lab C0109
Thursday, 18.04.2024, 09:45 - 11:15 (Tutorial for Exercise 4): GIS Lab C0109
Thursday, 25.04.2024, 09:45 - 11:15 (Tutorial for Exercise 5): GIS Lab C0109

Final Exam (in groups of 1.5 hours each):
Monday, 29.07.2024, 09:00 - 12:00: GIS Lab C0109

  • Monday 04.03. 08:00 - 11:15 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 07.03. 09:45 - 11:15 GIS-Labor Geo NIG 1.OG
  • Monday 11.03. 09:45 - 11:15 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 14.03. 09:45 - 11:15 GIS-Labor Geo NIG 1.OG
  • Monday 18.03. 09:45 - 11:15 GIS-Labor Geo NIG 1.OG
  • Thursday 21.03. 09:45 - 11:15 GIS-Labor Geo NIG 1.OG
  • Monday 08.04. 09:45 - 11:15 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 11.04. 09:45 - 11:15 GIS-Labor Geo NIG 1.OG
  • Monday 15.04. 09:45 - 11:15 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 18.04. 09:45 - 11:15 GIS-Labor Geo NIG 1.OG
  • Monday 22.04. 09:45 - 11:15 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 25.04. 09:45 - 11:15 GIS-Labor Geo NIG 1.OG
  • Monday 29.04. 09:00 - 12:00 GIS-Labor Geo NIG 1.OG

Information

Aims, contents and method of the course

The content of the course is the teaching of content and methodological basics for the simple uni- and bivariate analysis of physio- and humangeographic data sets with the program package Excel.
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.

Assessment and permitted materials

15% Participation
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)

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

De Lang N. und Nipper J. (2018): Quantitative Methoditk in der Gographie.
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.
Wheater C.P., Cook P.A. (2006): Using Statistics to Understand the Environment.
McKillup S., Darby Dyar M. (2010): Geostatistics Explained – An Introductory Guide for 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: Fr 01.03.2024 12:46