This 4-day course will guide participants from formalizing a problem, over finding and constructing the appropriate design, upto a correct statistical analysis of the experimental results. Theory alternates with hands-on computer exercises.
This course also includes an Experimental Design ‘game’: the participants go through all phases of a project: from problem analysis over choosing a design, up to analyzing simulated data and reporting the results.
Participants are assumed to have a thorough understanding of some basic statistical techniques (normal probability plot, confidence intervals, hypothesis testing, Type I & Type II errors, Power, ANOVA, Regression). The course ‘Statistics in Practice is ideally suited as a preparation to DOE-I, either as a training or in self-study.
- One Variable At a Time versus Experimental Design
- The concept of interacting variables
- Replication, 2-level blocking variables and randomisation
- 2-level designs: Full Factorial, Fractional Factorial, Plackett-Burman designs, Foldover designs, Confounding, Resolution
- Multi-level Response-Surface-Model designs
- Power calculations
- Analysing the results with Analysis of Variance
- Residual analysis and graphical validation
- Visualisation of the results
- Response transformation
- Multi-response optimisation
- Experimental Design game
- Free individual Follow-Up coaching
- One year free access to the DOE in Practice guide through the Sherpa App: a step-by-step guidance when setting up experiments or analyzing data.