Statistics and Design of Experiments

My Interest!

Describe a statistical example / problem, e.g. by email. We will help with a hint or a comparable example. To be able to explain the background in more detail, we recommend a course in which the solution is covered.

  • Example 1: During quality control, screws arrive at different temperatures. Is there an influence of temperature on the strength of the screws and how can I take this into account? A regression can help here. What the coefficient of determination R2 means and why it is important is covered in the Descriptive Statistics course.
  • Example 2: The strength of a wire grade is about 404 N/mm2 but varies (standard deviation 13.2 N/mm2). What strength can be guaranteed – to the customers – at a 99% level? In 99% of the cases the strength is greater than 373 N/mm2. The topic of confidence intervals is covered in the course Inferential Statistics.
  • Example 3: Employees present 4 possible parameters whose 3 different settings on a production line could improve the quality of the products. What is the quickest way to find out which parameters improve quality and which do not? That a Taguchi L9 experimental design with only 9 experiments (instead of testing all 81 possible parameter combinations) can help here, and what it does not take into account, is explained in the Design of Experiments course.

Selected Projects


Design of experiments to reduce the shrinkage of cable sheathing

Breath Tests

Interrelation Miner – Pattern recognition for the diagnosis of breast cancer using breath tests

Prediction of breast cancer using volatile biomarkers in the breath