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Business Statistics (E)

Niveau

1. Study cycle, Bachelor

Learning outcomes of the courses/module

The students are able to:
• independently analyze empirical data with suitable statistical methods and interpret the results.
• explain the differences between descriptive and inductive statistics.
• identify and independently implement essential statistical procedures.
• analyze and answer questions from the economic professional practice with statis-tical methods.
• competently use the Microsoft Excel software package for a wide range of data analyses and, if necessary, to fall back on alternative software such as SPSS or R.

Prerequisites for the course

Course: Business Mathematics

Course content

• Basic concepts of statistics
• Univariate and multivariate data description
• Basics of probability theory and theoretical distributions
• Estimation procedures and statistical tests
• Software like MS Excel (in-depth) and/or SPSS/R (on an illustrative basis)

Recommended specialist literature

• Anderson, David R.; Sweeney, Dennis J.; Williams, Thomas A.: Essentials of Modern Business Statistics with MS Excel. South Western (latest edition)
• Jaggia, Sanjiv; Kelly, Alison: Business Statistics: Communicating with Numbers. McGraw-Hill Education (latest edition)
• De Veaux, Richard D.; Velleman; Paul F.;Sharpe, Norean Radke: Business Statistics, Global Edition. Pearson Education Limited (latest edition)

Assessment methods and criteria

Portfolio

Language

English

Number of ECTS credits awarded

3

Share of e-learning in %

25

Semester hours per week

2.0

Planned teaching and learning method

Blended Learning

Semester/trimester in which the course/module is offered

5

Name of lecturer

Academic year

3

Key figure of the course/module

IBS.VZB.05.08

Type of course/module

integrated lecture

Type of course

Compulsory

Internship(s)