This three day training will revitalize and enhance your knowledge of statistics in such a way that you can use statistical tools to plan and analyze complex experiments. This course will recapitulate and connect to the headlines of the Basic Course. Theory and practice alternate by use of a catapult game to experience how to set up a good Design of Experiments in practice. Practical examples and exercises are used throughout the training to illustrate the theory and to let the course participants getting acquainted with Minitab®.
This training builds upon the statistical methods learned in the Basic Statistics Course. The focus in this course is on ‘How to plan, execute and analyze a designed experiment’. A simple and logical 13-step method will be introduced to do this. Most of the statistical techniques required in these steps have already been introduced in the Basic Course. In this course they will be repeated shortly and extended in two ways: new analysis techniques will be introduced and already familiar techniques will be explored deeper.
The emphasis is on creating and analyzing a designed experiment (DOE). You will learn how to set up a designed
experiment, how to deal with many parameters in your experiment, with non-linear behavior of your responses, etc.
The result of a DOE is a statistical process model. This model can be used to determine optimal settings of your process. Further, you may use the model to investigate the effect of spread on your input parameters on your response. To this purpose the Monte Carlo simulation technique is introduced.
This course is interactive. By doing some practical work, the participants gain experience with the advantages of statistical methods and tools. Bringing your own data and examples to the course is recommended.
• Define your goal – Process Model
• Measurement System Evaluation
• Gather process knowledge
• Search for vital X’s – Hypothesis Testing (part 1)
– t-tests (1 sample, 2 sample, paired t-test)
– Non-parametrical tests (Sign, Wilcoxon, Mann-Whitney)
• Hypothesis Testing (part 2)
– ANOVA, GLM
• Non-normal data – Transformations
• Power and Sample Size
• Design of Experiments
– Short introduction
– Fractional factorial designs
– Response surface designs (CCD, BBD)
– Split plot designs
• Monte Carlo simulations
• Confirmation run
Participants will use practical examples and exercises throughout the training to illustrate the theory. During the
course the statistical software package Minitab® will be used. A laptop with Minitab® (e.g. free 30 days trial version on www.minitab.com) and Excel installed is needed.
Joost van der Heijden – Holland Innovative
Course duration and number of participants:
3 days from 9.00 am to 5.00 pm. Maximum group size: 16 participants. In-company programs can also be arranged.
Ir. Joost van der Heijden – Master Black Belt at Holland Innovative
Location and costs:
Eindhoven: High Tech Campus 9 (Bèta Building)
The costs are €1475 (excl. VAT) per participant. Included are the three training days, a syllabus of the course material, refreshments and daily lunches.
Do you have a question about one of our courses?
Would you like to discuss the possibilities? Please contact us for further information.
T: +31 (0)40 851 4611