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

Statistics II, 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.)
The course Statistics II covers problems and methods of inferential statistics. The following topics will be discussed:
  • Basics of point and interval estimation
  • Hypothesis tests
  • Linear regression
  • Analysis of variance
08:00 AM till 11:15 AM
Wednesday, 09/03/2022
08:00 AM till 11:15 AM
Upon completion of the course Statistics II students will have a basic understanding of the tools of inferential statistics. How can we draw conclusions for a population from a sample? Students will be able to understand which tests and methods should be applied to which data problems. Furthermore, students will be aware of the limits and potential pitfalls of data analysis, in particular in terms of correlation versus causation.
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.
Statistics I