Online Course Guide of WHU –

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Please use the filters below to select the term (spring or fall) as well as the respective program (BSc, MSc, MBA, Exchange, Doctoral) of your choice for an overview of all modules offered at WHU. The courses are listed under the modules. Please click on a module to see which courses are part of it. If you would like to find out more about a certain course, click on the name of the course to see detail information. The location of the lecture will be revealed after your course registration on myWHUstudies.

Spring term counts from January - August, fall term counts from September - December.

Important for Exchange Students: As the Full-Time and Part-Time MBA Programs utilize a modular course structure, the dates on which students begin and end the exchange are flexible. Please find here a chronological overview of the preliminary course offering for Fall and Spring.

Spring 2021  ›  Bachelor of Science  ›  Bachelor of Science - 2nd Semester  ›  Statistics

Statistics I, Group A-C1

Course Code:
Dr. Clemens Buchen
Course Type:
BSc Course
Week Hours:
Spring 2021
(Please note that exchange students obtain a higher number of credits in the BSc-program at WHU than listed here. For further information please contact directly the International Relations Office.)
Statistics I covers the basics of probabilities and descriptive statistics. The course puts in the foundation for more advanced data analysis. The topic include:
  • Description in one and many dimensions (graphical represenation, distribution function and cumulative frequencies distribution, measures of center and variaion, percentils, measures of correlation)
  • Probabilities (random samples, combinatorics, conditional probabilities, Bayes' theorem)
  • Discrete and continuous random variables in one and many dimensions, Law of large numbers, central limit theorems
11:30 AM till 03:15 PM
Monday, 25/01/2021
08:00 AM till 11:15 AM
Wednesday, 17/02/2021
08:00 AM till 11:15 AM
Friday, 30/04/2021
09:00 AM till 12:00 PM
Upon completing the course Statistics I students will have a basic understanding about the first steps of data analysis. This involves three components. First, students will know how to describe raw data, both numerically and graphically. Second, students have a basic understanding of probabilities and will be able to apply this both theoretically and in practice. Third, students will be able to describe and analyze random variables and their distributions.
Heumann, Christian, Schomaker, Michael, Shalabh, 2016, Introduction to Statistics and Data Analysis, Springer

Weiss, Neil A., Introductory Statistics, Pearson (several editions)

In class we cover the basic ideas and theories. To this end, we will use both many examples and some theoretical and formal reasoning. Moreover, assignments and problem sets will be provided for further application and study.