Industrial statistics and design of experiments

Kinga Lakné Komka PhD

Department of Chemical and Environmental Process Engineering

Fundamentals of statistics:
- the more important continuous distributions (normal, t-, F-distributions)
- hypothesis testing, one and two sample t-test, F-test, the first and the second kind of errors
- design and analysis of full factorial (2^p) designs

The subject is awareness-raising. It aims to familiarise students with modern data analysis methods used in industrial practice and quality engineering. Emphasis is placed on the selection of the appropriate statistical method to link the professional and the statistical problem and the development of the associated thinking and approach. Students will be introduced to the statistical engineering tools, i.e. analysis of variance, factorial experimental designs and the statistical methods of Six Sigma. Emphasis is placed on learning how to use statistical software in order to facilitate the use of similar software in the future.