Module PY1800-KP06

Duration

1 Semester

Turnus of offer

each winter semester

Credit points

6

Course of studies, specific fields and terms:

• Bachelor Psychology 2027, compulsory, psychology
• Bachelor Psychology 2020, compulsory, psychology
• Bachelor Psychology 2016, compulsory, psychology

Classes and lectures:

• practise in basics in statistics I (seminar, 2 SWS)
• lecture in basics in statistics I (lecture, 2 SWS)

Workload:

• 120 hours private studies and exercises
• 60 hours in-classroom work

Contents of teaching:

• Descriptive statistics
• Graphical data representation and analysis
• Effect sizes
• Introduction to inference statistics
• Population vs sample
• Testing of relationships hypotheses (correlation methods)
• Parametrical testing of difference hypotheses (t-test)

Qualification-goals/Competencies:

• Students possess a fundamental understanding of descriptive and inferential statistics as well as probability theory, which are of central importance for the collection and evaluation of psychological data, and are able to critically assess these concepts.
• You can apply your newly acquired knowledge to solve statistical problems.
• You have initial experience in using and interpreting statistical software (e.g., SPSS, JASP, R).
• You have the ability to interpret statistical results appropriately and independently.

Grading through:

• written exam

Is requisite for:

• Basics in statistics 2 (PY2300-KP06)

Responsible for this module:

• Prof. Dr. rer. nat. Jonas Obleser

Teacher:

• Department of Psychology
• Prof. Dr. rer. nat. Jonas Obleser

Literature:

• Eid, M., Gollwitzer, M. & Schmitt, M. : Statistik und Forschungsmethoden. Beltz. 1. Auflage, 2010
• Wirtz, M., Nachtigall, C : Deskriptive Statistik. Statistische Methoden für Psychologen Teil 1 Beltz Juventa. 6. Auflage, 2012
• Motulsky, H. : Intuitive Biostatistics Oxford University Press.3. Auflage, 2014

Language:

• offered only in German

Notes:

Last Updated:

29.10.2025