Statistics 2
BBWL-450
P420-0144, P620-0576
bbw2
6
V
5
4
yes
German
Written exam (90 min. / can be repeated semesterly)
BBWL-450
Business Administration
4
mandatory course
BBWL-450
Business Administration
4
mandatory course
BBWL-2020-450
Business Administration
4
mandatory course
90 class hours (= 67.5 clock hours) over a 15-week period.The total student study time is 150 hours (equivalent to 5 ECTS credits).There are therefore 82.5 hours available for class preparation and follow-up work and exam preparation.
BBWL-240
Mathematical Economics 2 and Statistics 1
Prof. Dr. Teresa Melo
tme
Prof. Dr. Teresa Melo
tme
After successfully completing this module, students will be able to:
- describe and model random phenomena using concepts from the probability theory,
- describe basic methods from the probability theory and apply them to exemplary economic situations,
- develop and interpret statements of probability,
- apply the most important discrete and continuous probability distributions (e. g. binomial and normal distributions),
- explain basic procedures of inferential statistics such as the principle of point and interval estimators and the testing of hypotheses,
- solve business practice problems with the help of adequate statistical methods and interpret the results obtained,
- describe the structure and procedures of non-parametric methods and use them to analyze economic data sets,
- Students will know and be able to critically discuss the limits of the statistical methodology used.
Probability calculation:
- Combinatorics
- Basic principles of set theory
- Probability terms: Laplace distribution, statistical
probability, Kolmogorov"s probability theory
- Elementary computation rules, total probability theorem, Bayesian theorem
- Discrete and continuous random variables
- Special distribution models (e.g. binomial and normal distribution)
Inferential statistics:
- Properties and construction of estimators
- Estimation of parameters (point and interval estimation)
- Formulation of statistical hypotheses
- Test procedure for expected values, proportional values and variances
- Nonparametric methods: Goodness-of-Fit, independence and
homogeneity tests
- Other nonparametric methods: distribution-free methods
Lecture and discussion in a large group using transparencies (projector) and the blackboard (theory and example computations).
The lecture will be supplemented by exercises and tutorials. A large number of exercise sheets covering the wide range topics in this module will be provided. Afterwards, the solutions will be discussed with the students.
Both the lecture notes and the exercise sheets will be available to students in electronic form.
- Bamberg, Baur, Krapp: Statistik, 14. Auflage, Oldenbourg, 2008
- Bamberg, Baur, Krapp: Statistik - Arbeitsbuch, 8. überarb. Auflage,
Oldenbourg, München, 2008
- Caputo, Fahrmeir, Künstler, Lang, Pigeot-Kübler, Tutz: Arbeitsbuch Statistik,
5. Auflage, Springer, Berlin, 2009
- Fahrmeir, Künstler, Pigeot, Tutz: Statistik: Der Weg zur Datenanalyse, 6.
überarbeitete Auflage, Springer-Verlag, Berlin, Heidelberg, 2007
- Mosler, Schmid: Wahrscheinlichkeitsrechnung und schließende Statistik, 2.
Auflage, Springer-Verlag, Berlin, Heidelberg, 2006
- Schira: Statistische Methoden der VWL und BWL: Theorie und Praxis, 3.,
aktualisierte Auflage, Pearson Studium, 2009
- Schwarze: Grundlagen der Statistik, Band 2: Wahrscheinlichkeitsrechnung und
induktive Statistik, 9. vollständig über. Auflage, Reihe: NWB Studium
Betriebswirtschaft, nwb Verlag, 2009
- Toutenburg, Heumann: Induktive Statistik: Eine Einführung mit R und SPSS, 4.
überab. und erw. Auflage, Springer-Verlag, Berlin, Heidelberg, 2008
- Toutenburg, Heumann: Arbeitsbuch zur deskriptiven und induktiven Statistik, 2.
Auflage, Springer, 2009
Fri Mar 29 08:15:42 CET 2024, CKEY=bs2a, BKEY=bbw2, CID=[?], LANGUAGE=en, DATE=29.03.2024