Analyzing the Experiment (Part III)
In the last Blog, we learned how to determine which effects are statistically significant. This is an important step to...
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Analyzing the Experiment (Part II)
In the last Blog, we learned how to compute and graphically interpret both main effects and interaction effects. Eventually the...
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Analyzing the Experiment (Part I)
We are ready to learn how to analyze the data collected during the experiment. This is the most exciting part...
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Conducting the Experiment
In this week’s blog entry, we discuss some guidelines for conducting an experiment. As we discussed in an earlier post,...
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Important DOE Techniques
In this blog post, we discuss several important techniques to consider when conducting and analyzing an experiment. They are summarized...
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Planning for a DOE
In this blog post, we discuss the suggested steps for planning a Designed Experiment. Step #1 – Clearly Define the...
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Basic DOE Terminology
In this blog post, we formally define or describe the basic terminology that is commonly used in Design of Experiments. ...
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How is Formal Experimentation different from Simplistic Approaches? (Part II)
Statistically based DOE provides several advantages over more simplistic approaches such “one-factor-at-a-time” experimentation. These advantages include: The use of statistical...
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How is Formal Experimentation different from Simplistic Approaches? (Part I)
Statistically based DOE provides several advantages over more simplistic approaches
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Motivation for Structured Experimentation (DOE)
When planning and designing an experiment, it may be tempting to try and accomplish
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