Design of Experiments ( DOE ) is a statistical tool which helps you to design any experiment properly toward right conclusions. In this beginner online course, you learn by examples and you will know first what is design of experiment and the aim behind it, then you will go deeper thus learning how to plan, execute and analyze any experiment properly using this powerful tool. You will also encounter both types of factorial designs here ( Full Factorial Design and Fractional Factorial Design). This tutorial will allow any newbie fully learn how to plan, execute and analyze any experiment properly, thus making the right conclusions out it.
This tool is obligatory for any scientist or engineer, especially those working within the research and development sector and is also essential for those who practice and work with six sigma.
The course starts preparing you in PART I, thus making you familiar with the DOE definition, noise factors, relations and levels .
Part II then teaches you how to set all the relevant parameters so that you can then plan your experiment using the full or fractional factorial designs.
In Part III, you will learn how to execute your experiment afterwards in a way that you ensure highest accuracy in the results.
In part IV, you will then learn how to analyze the acquired results in your experiments using two different ways, either by charts, or by analysis of variance (Two-way ANOVA).
- Fundamentals for Design of Experiments
- Full and Fractional Factorial Designs
- Data Analysis by Mean Comparison, Charts and ANOVA
- Tips and Best Practices on DOE