Universität Wien FIND

200032 UE Exercise Course Statistics (2021S)

6.00 ECTS (2.00 SWS), SPL 20 - Psychologie
Continuous assessment of course work


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).


max. 40 participants
Language: German


Classes (iCal) - next class is marked with N

Attention, there will be no live unit on 13.04.!

Tuesday 16.03. 18:30 - 20:00 Digital
Tuesday 23.03. 18:30 - 20:00 Digital
Tuesday 20.04. 18:30 - 20:00 Digital
Tuesday 27.04. 18:30 - 20:00 Digital
Tuesday 04.05. 18:30 - 20:00 Digital
Tuesday 11.05. 18:30 - 20:00 Digital
Tuesday 18.05. 18:30 - 20:00 Digital
Tuesday 01.06. 18:30 - 20:00 Digital
Tuesday 08.06. 18:30 - 20:00 Digital
Tuesday 15.06. 18:30 - 20:00 Digital
Tuesday 22.06. 18:30 - 20:00 Digital


Aims, contents and method of the course

The students should acquire the skills i) to understand, understand and critically evaluate scientific research results; ii) carry out analyzes using appropriate statistical methods and interpret the results. Students will acquire basic knowledge of statistics by solving concrete psychological examples and tasks, including manual calculation and handlingof JASP (https://jasp-stats.org/) and other software.

The following topics will be covered:
• Importance of statistics for psychology
• Description of data: Preparation and presentation of data by means of tables, graphics and statistical parameters (descriptive statistics)
• Probability theory and combinatorics
• Inferring from a sample to the population, hypothesis testing logic, important probability distributions, and statistical tests (inferential statistics)
• Relationships between psychological characteristics (correlation, regression)

Assessment and permitted materials

Due to the current situation regarding coronavirus and the associated restrictions on teaching at the University of Vienna (no on-site face-to-face units), the statistics exercises will be adapted as follows.

A certain number of exercises will be worked on per unit. The exercises will be posted online every Wednesday in the Moodle course of the lecture.
On a cross-list, students indicate by a certain deadline which of the exercises they have solved. They also upload the elaborations of the solutions of these exercises to the respective upload folder in the Moodle course.

During the unit, the exercises are explained by means of a sample solution and any questions, problems, etc. are discussed. This sample solution will then be uploaded to the Moodle course.
If plagiarism is suspected, students will be asked to present the solution in the unit. Students must therefore be able to demonstrate their solutions by calculating or by using statistics software, if necessary.

It is therefore not sufficient if only final results are uploaded. The solution path must be documented in a comprehensible way, and the choice of a particular solution path/procedure must be justified.

Minimum requirements and assessment criteria

Attendance is compulsory in all units (presence as well as digital). If more than three units are missed per semester, the course will be graded negatively.

Examination topics

Course with continuous assessment of students' performance (compulsory attendance!): Tasks available in the Moodle course should be prepared by students.

Reading list

Will be announced in the accompanying lecture.

Association in the course directory


Last modified: Mo 25.04.2022 21:08