At the end of the course, students will be able to:

• select an adequate inferential statistical procedure to answer a content-related question, carry it out independently and competently and evaluate and report the results appropriately.
• explain the different parametric and non-parametric inferential statistical methods, their areas of application, their benefits and limitations as well as the most common misunderstandings conceptually and technically.
• explain the meaning of inferential statistics.
• distinguish between the concepts of descriptive and inductive statistics.

none

• Carrying out inferential statistical procedures with the help of statistical software: exercise and evaluation examples in SPSS
• non-parametric inferential statistical methods: U-test, W-test, Chi2-test
• parametric inferential statistical procedures: t-test, F-test
• parameter estimation, confidence interval, hypothesis testing

Bortz, J., & Schuster, C. (2010). Statistik für Human- und Sozialwissenschaftler(7. Aufl.). Berlin: Springer.
Döring, N. und Bortz, J. (2016). Forschungsmethoden und Evaluation in den Human- und Sozialwissenschaften(5. Aufl.). Berlin: Springer.
Dürr, W.; Mayer, H. (1992): Wahrscheinlichkeitsrechnung und Schließende Statistik.München/Wien: Carl Hanser Verlag.
Eid, M., Gollwitzer, M. und Schmitt, M. (2015). Statistik und Forschungsmethoden.Weinheim: Beltz.
Field, A. (2018). Discovering statistics using IBM SPSS statistics(5th edition). London: Sage Publications Ltd.
Kockelkorn, U. (2012). Statistik für Anwender. Berlin/Heidelberg: Springer.
Mayer, H. (2006): Beschreibende Statistik(4. Aufl.). München/Wien: Hanser Verlag.
Mc Clave, J. T., Benson, P. G. & Sincich, T. (2005). Statistics for Business and Economics (9th ed.). Upper Saddle River: Pearson.
Quatember, A. (2005): Statistik ohne Angst vor Formeln. Ein Lehrbuch für Wirtschafts- und Sozialwissenschaftler.München: Pearson Studium.
Rasch, B., Friese, M., Hofmann, W., & Naumann, E. (2014a). Quantitative Methoden 1. Einführung in die Statistik für Psychologen und Sozialwissenschaftler.Berlin: Springer.
Rasch, B., Friese, M., Hofmann, W., & Naumann, E. (2014b). Quantitative Methoden 2. Einführung in die Statistik für Psychologen und Sozialwissenschaftler.Berlin: Springer.
Wewel, M.C. (2010). Statistik im Bachelor-Studium der BWL und VWL. München: Pearson Studium.

Lecture, supervised individual and group exercises, exercise sheet with debriefing

Combined module examination
The module grade is calculated from the ECTS-weighted average of the result of the course "Statistics II" and the result of the integrative module part (course "Methods of Scientific Work II" and course "Fundamentals of Empirical Social Research II"). The result of the integrative module part is calculated from the ECTS-based weighted average of the integrative module examination parts in the courses "Methods of Scientific Work II" and "Fundamentals of Empirical Social Research II". The module grade is calculated as follows:
ILV "Statistics II" - 2 ECTS credits

• Examination character: continuous
• Type of examination: Exercise sheets, presentation of exercises, written final examination
• 33% of the result is included in the module grade