Universität Wien

290091 VU Introduction to Statistics (2025S)

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. 40 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Partially blocked course. The units take place at the following times:
THU, March 13, 2025, 11:00 a.m. - 2:15 p.m. (preliminary discussion and introduction)
WED, March 19, 2025, 11:00 a.m. - 2:15 p.m. (Unit 1)
WED, March 26, 2025, 11:00 a.m. - 2:15 p.m. (Unit 2)
THU, March 27, 2025, 11:00 a.m. - 2:15 p.m. (Unit 3)
WED, April 2nd, 2025, 11:00 a.m. - 2:15 p.m. (Unit 4)
THU, April 3rd, 2025, 11:00 a.m. - 2:15 p.m. (Unit 5)
THU, April 10, 2025, 12:00 p.m. - 2:15 p.m. (final test 1st chance)
THU, May 8, 2025, 12:00 p.m. - 2:15 p.m. (final test 2nd chance)

ATTENTION: An unexcused absence from the preliminary meeting will result in immediate cancellation of the course. This allows students who are on the waiting list to get a place.

  • Thursday 13.03. 11:00 - 14:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Wednesday 19.03. 11:00 - 14:15 Hörsaal 2 Eduard Suess, 2A122 1.OG UZA II Geo-Zentrum
  • Wednesday 26.03. 11:00 - 13:00 Hörsaal 5A Geographie NIG 5.OG A0518
  • Wednesday 26.03. 13:15 - 14:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 27.03. 11:00 - 14:15 Eberhard Clar Saal Geologie 2B204 2.OG UZA II
  • Wednesday 02.04. 11:00 - 14:15 Hörsaal 2 Eduard Suess, 2A122 1.OG UZA II Geo-Zentrum
  • Thursday 03.04. 11:00 - 14:15 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
  • Thursday 10.04. 12:00 - 14:15 Hörsaal 5A Geographie NIG 5.OG A0518
  • Thursday 08.05. 12:00 - 14:15 Hörsaal 5A Geographie NIG 5.OG A0518

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).
.) can successfully carry out hypothesis tests (e.g. t-test and chi-square test).
.) can interpret the results correctly and summarize them in a linguistically understandable way.

Method
Development of the theory as well as discussion and interpretation of results in the unit on site. In order to consolidate what has been learned, exercises must be completed independently. Additional support for implementation: tutorials.

It would make sense if you had Excel available on your computer from the start of the course and took your laptop/tablet with you to every unit. The central functionalities of Excel are taught in the course.

Alternatively, you can also carry out the exercises on all computers in the computer rooms at the University of Vienna.

Assessment and permitted materials

15% Participation
35% Individual Excercises
50% Final Exam

Students have the opportunity to take the final exam twice. The better of the two attempts will be counted.

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 two units absences),
- Submission of 5 individual practice assignments,
- Minimum 15 points on the practice assignments,
- Minimum of 20 points on the final exam.

If the minimum requirements are met, the points p achieved will be converted into a grade as follows:
p < 50: not sufficient (N5)
50 <= p < 62.5: sufficient (U4)
62.5 <= p < 75: satisfactory (B3)
75 <= p < 87.5: good (G2)
p >= 87.5: very good (S1)

Examination topics

See also content above.
.) 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 Methodik in der Geographie.
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 deskriptive Statistik.

Association in the course directory

(BA GG 5.1)

Last modified: Mo 10.03.2025 13:47