First Cycle - Faculty of Business Administration - Business Informatics (German)
Y : Year of Study S : Semester
Course Unit Code Course Unit Title Type of Course Y S ECTS
STAT202 Statistics for Business Informatics Compulsory 2 4 5
Objectives of the Course
Business and economics courses that can be used to give basic knowledge of statistics
Name of Lecturer(s)
Prof. Dr. ULRICH TAMM
Learning Outcomes
1 to analyze independence using the chi-square-test
2 to carry out hypothesis testing using t-distribution and normal distribution
3 to estimate parameters directly or within an interval
4 to apply the laws of large numbers
5 to master the important methods of inductive statistics
6 to work with SPSS, SAS, or R
7 to know multivariate procedures
8 to apply linear regression
Mode of Delivery
Formal Education
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1 Statistical concepts and tasks, statistical research
2 Frequency dividing the total frequency division, average, deviation measures, Lorenz curve, probability calculus
3 Discrete and continuous random numbers
4 Random numbers and probability distribution functions
5 Expected value and variance of the random number
6 Theoretical distributions
7 Sampling and sampling distributions
8 Study week
9 Midterm
10 Sampling methods
11 Forecast methods
12 Test method (parametric single sample test)
13 Test method (binary sample test)
14 Test method (variance analysis)
15 Test method (range test)
16 Regression Analysis
Recommended or Required Reading
Bamberg, B, Statistik, 10. Auflage, München, 1996
Bleymüller, G., Statistik für Wirtschaftswissenschaftler, WIST Studienkurs, 11. Auflage, München, 1998
Planned Learning Activities and Teaching Methods
Lecture and exercises, work with standard software
Assessment
AssessmentQuantityWeight
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
Total100
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Exam1100
Total100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Exam1100
Total100
Language of Instruction
German
Workload Calculation
Activities Number Time (hours) Total Work Load (hours)
Theoretical 4 14 56
Pre Class Self Study 2 14 28
Post Class Self Study 3 14 42
Total 9 42 126
Contribution of Learning Outcomes to Programme Outcomes
PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16
LO 13000000000000000
LO 23000000000002000
LO 31000000000002000
LO 43000000000002000
LO 53000000000000000
LO 63000000000000000
LO 73000000000000000
LO 83000000000000000
LO 90000000000000000
LO 100000000000000000
LO 110000000000000000
LO 120000000000000000
LO 130000000000000000
LO 140000000000000000
LO 150000000000000000
LO 160000000000000000

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