Exam number: 1413
Semester: from 2nd semester (Grundlagenausbildung)
Duration of the module: One semester
Form of the module (i.e. obligatory, elective etc.): Obligatory
Frequency of module offer: Each summer semester
Prerequisites: IBA-Bachelor-Students and Foreign Exchange Students ONLY!
Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.
Person responsible for module: Prof. Dr. Wolfgang Schmid
Name of the professor: Prof. Dr. Wolfgang Schnmid; Dr. habil. Olha Bodnar (SoSe 2017); Dr. Liubov Rabyk (SoSe 2016); Dr. Robert Garthoff (SoSe 2015); Prof. Dr. Ostap Okhrin (SoSe 2014)
Language of teaching: English
ECTS-Credits (based on the workload): 6
Workload and its composition (self-study, contact time):
Contact time (lecture, tutorial etc.): 45 h; self-study: 135 h
Contact hours (per week in semester): 4
Methods and duration of examination:
Successful written exam (120 min)
Emphasis of the grade for the final grade: Please check regulations of the study programme
Aim of the module (expected learning outcomes and competencies to be acquired):
The principal objective of the course is the description of data using statistical methods. Further, the students learn about basic concepts of probability theory. The course also contains inferential statistics including hypothesis testing and deriving estimates.
Contents of the module:
2. Descriptive statistics
2.1 Basic concepts
2.2 Measures of central tendency and dispersion
2.3 Descriptive relationships
3. Probability theory
3.1 Enumerative combinatorics
3.2 Events in probability spaces
3.3 Random variables and distributions
4. Inferential statistics
4.1 Parameter estimation
4.2 Confidence intervals
4.3 Statistical hypothesis testing
Teaching and learning methods:
Lecture with tutorials, self-studies
Literature (compulsory reading, recommended literature):
Anderson, D.R., Sweeney, D.J., Williams, T.A., Freeman, J. and Shoesmith, E., Statistics for Business and Economics. Thomson, London, 2007.
Carlson, W.L. and Thorne, B., Applied Statistical Methods for Business, Economics, and Social Sciences. Prentice Hall, New Jersey, 1997.
Keller, G., Warrack, B. and Bartel, H., Statistics for Management and Economics. Wadsworth Publishing Company, Belmont California, 1988.
Kenkel, J.L., Introductory Statistics for Management and Economics. PWS_KENT Publishing Company, Boston, Massachusetts, 1984.
Registration in Moodle Viadrina required.