Online Course Guide of WHU –

Find all modules and courses of our degree programs.

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 2022  ›  Bachelor of Science  ›  Bachelor of Science - 2nd Semester  ›  Statistics

Statistics I, Group B

Course Code:
Dr. Clemens Buchen
Course Type:
BSc Course
Week Hours:
Spring 2022
(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.)
Statistik I behandelt Grundlagen der Wahrscheinlichkeitsrechung und der deskriptiven Statistik. Der Kurs legt die Grundlage für fortgeschrittene Datenanalyse. Die Themen der Vorlesung sind:
  • Ein- und mehrdimensionale Deskription (Grafische Darstellung, Verteilungsfunktion und kumulierte Häufigkeitsverteilung, Lagemaße, Streuungsmaße, Quantile, Korrelationskoeffizienten)
  • Wahrscheinlichkeitsrechung (Zufallsstichproben, Kombinatorik, bedingte Wahrscheinlichkeiten, Satz von Bayes)
  • Diskrete und stetige Zufallsvariablen in einer und mehreren Dimensionen, Gesetz der großen Zahlen, Grenzwertsätze
Thursday, 13/01/2022
08:00 AM till 11:15 AM
Wednesday, 19/01/2022
03:30 PM till 06:45 PM
Monday, 24/01/2022
11:30 AM till 03:15 PM
Thursday, 03/02/2022
08:00 AM till 11:15 AM
Thursday, 10/02/2022
11:30 AM till 03:15 PM
Tuesday, 15/02/2022
03:30 PM till 06:45 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.