Dates
| weekly | Tuesday | 12:15 - 13:45 | 06.04.2026 - 30.06.2026 | C 12.108 Seminarraum |
| single appointment | Tu, 07.07.2026, 12:15 - Tu, 07.07.2026, 13:45 | C 14.027 Seminarraum | finale Sitzung, Seminargruppen A,B,C |
Curriculum context
Assessment
Cross course module assessment:
grade [29043] Inferential Statistics I
grade [29043] Inferential Statistics I
Form of assessment
Combined academic performance
Examiner
Elements of assessment:
Take-home assignments (10%)
Written test (90 min) on 14 July 2026 (90%)
Written test (90 min) on 14 July 2026 (90%)
Dates
Date of assessment:
Tuesday, 14.07.2026
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
Notices
Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.
Organizational information
Type of course
Seminar
planned way of execution
Vollständig Präsenz
Hours per week per semester
2
Registration process
central procedure for assignment of remaining places (with participant limit)
Maximum number of participants
33
Registration
Lottery procedure
central procedure for assignment of remaining places (with participant limit)
Time period
Registration ends 07.4.2026 at 23:59 h
Special features
If your registration for this course is successful you will registered automatically for the course Inferential Statistics I - V (David Loschelder).
Persons
Teaching staff
Content
Language of instruction
Deutsch
Native Title
Inferential Statistics I - Group B
Tags
none
Content and concept
Quantitative methods covered in the lecture will be repeated in the seminar and practically applied by means of exercises. To deepen the methods individually, the students work on a weekly assignment sheet, which is handed in to the tutor.
Objective
Deepened understanding for applying quantitative methods.
Other
The practical exercises are conducted with the free open source software R (http:http://www.r-project.org/).
Evaluation
Evaluation
An evaluation was registered for this course
Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/feedback-instruments.html