Statistics for Management

Introduction to the theory of probability, conditional probability, discrete random variables and distributions, continuous random variables and distributions, the normal distribution, estimating parameters, tests of hypotheses, the classic linear regression model.

Mode of delivery

face to face

Type

compulsory

Recommended or required reading and other learning resources/tools

Newbold, Paul (et al.) (2012): Statistics for Business and Economics; Prentice Hall (BEWE)

Planned learning activities and teaching methods

Lecture, exercises, written assignments & discussions

Assessment methods and criteria

Continuous assessment

Infos

Degree programme

European Economy & Business Management (Bachelor)

Cycle

Bachelor

ECTS Credits

3.00

Language of instruction

German

Curriculum

Full-Time

Academic year

2023

Semester

2 SS

Incoming

No

Learning outcome

After successful completion of the course, students can: explain and apply the most important rules of the probability theory, the moments and the relevant distributions; calculate estimates of parameters, test hypotheses or convey sample findings to the corresponding target population. In addition, they should be able to quantitatively analyse, using computer analysis, independent univariate and multivariate sets of data of socio-economic and scientific problems as well as to interpret the results. The learning outcomes of this course contribute mainly to the following (international) programme learning outcomes: LO 2.1. (methods, as well as LO 3.1.

Course code

0389-20-01-VZ-DE-12