Experimental data has to be analyzed.
Performing experiments
leads to the collection of data. These numbers should be analyzed and
interpreted in order to draw the correct conclusions. As such, the statistical
analysis of the data is an integral part of performing the experiments.
As DSM Resolve, we can offer courses in the field of applied statistics at two
different levels. We do know that the experimentalist is seldomly interested
in the beautiful and elegant mathematical details that are behind the
statistical procedures; the interest is on how to apply the techniques, and
how to interpret the results. That is exactly how the courses were developed.
The basic principles are generally conceptually easy, and the mathematics can
be skipped. Concepts like confidence levels and p-values in significance tests
can be illustrated and 'experienced' by drawing random numbers using software
packages. Apart from that, the statistical techniques are illustrated using
examples that are relevant for coworkers of DSM.
Base Course.
The first course is a Base Course. It starts at
the very basis, to refresh the knowledge on the relevant details concerning
sample means, standard deviations and standard errors. Also the concepts used
in statistical hypothesis testing are addressed.
Well-known statistical tests as the t- and F-test are presented. The final
chapters of the course focus on one-way analysis of variance and on linear
regression analysis.
Design of Experiments.
The second course is about Design of
Experiments, and starts more or less at the level where the Base Course ends.
As the design of an experiment is not very useful if the tools and knowledge
concerning the analysis are missing, attention is paid to statistical
techniques like analysis of variance and regression analysis. Model validity
criteria are vital for a proper and meaningful statistical analysis. When
these concepts are clear, the actual Design of Experiments-part is simple. The
concepts on (fractionated) factorial designs, response surface designs,
Box-Behnken and Plackett-Burman designs bear no secrets any more. For this
course use is made of the software packages Excel and Modde (version 6.0).
Syllabus.
For both courses an extensive syllabus has been
written, containing the theory, descriptions on how to use the software, and
exercises. The base course is given in Dutch (Dutch syllabus) and the DoE
course in English and Dutch. Both course cover 4 consecutive or scattered days.
Specific courses can be developed on demand.
