Business Statistics (E)
level of course unit
1. Study cycle, Bachelor
Learning outcomes of course unit
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 and co-requisites
Course: Business Mathematics
course contents
• 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 or required reading
• 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
Online tasks, term paper, exam
language of instruction
English
number of ECTS credits allocated
3
eLearning quota in percent
25
course-hours-per-week (chw)
2
planned learning activities and teaching methods
Blended Learning
semester/trimester when the course unit is delivered
2
name of lecturer(s)
Prof. (FH) Dr. Peter Dietrich
course unit code
06.BV.EFM.2
type of course unit
integrated lecture
mode of delivery
Compulsory
work placement(s)
none