040501 KU Data Analysis for Marketing Decisions (MA) (2021S)
- Registration is open from Th 11.02.2021 09:00 to Mo 22.02.2021 12:00
- Registration is open from Th 25.02.2021 09:00 to Fr 26.02.2021 12:00
- Deregistration possible until We 31.03.2021 23:59
Classes (iCal) - next class is marked with N
Aims, contents and method of the course
Assessment and permitted materials
Mini group assignment: 30%
Group project: 25%
Final exam: 45%No material other than a dictonary may be used in the final exam.
Minimum requirements and assessment criteria
Students who fail must repeat the entire course (and must register in the usual way next time the course is offered). No opportunities for make-ups will be offered.
The group project is an assignment conducted by teams of approx. 5 students and involves the analysis of a dataset as well as the interpretation and presentation of the relevant results. The group project is a collective effort and all members are expected to contribute as the same grade is awarded to students belonging to the same team. Detailed instructions will be provided in class.
The final exam covers all topics discussed in the lectures and corresponding book chapters. The exam typically includes questions of different formats (e.g., multiple-choice questions and mini cases with open-ended questions).
Recommended additional textbook: Diamantopoulos, D. and Schlegelmilch, B. (2000), Taking the Fear out of Data Analysis (2nd edition), South-Western CENGAGE Learning: London [ISBN: 978-1-86152-430-0].
Complementary material: Marshall, E. (2016), The Statistics Tutor’s Quick Guide to Commonly Used Statistical Tests, University of Shefield - Statstutor Community Project, [Retrieved from www.statstutor.ac.uk]. → will be available on MoodleSystematically reviewing the course material (slides, book chapters, and exercises) is as essential as being (physically and mentally) present in the lectures!