Analyzing the Experiment (Part IV)

In the last Blog, we learned how to determine the coefficients of a predictive model for 2-level screening designs.It is more complex to determine model coefficients for multi-level experiments so for those, we rely on statistical methods software.   In this blog, we...

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 develop the predictive model(s) because only the statistically significant factors and interactions belong in the model.  If we include...

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 statistically significant effects will be used to develop a predictive model.  But how do we determine which effects are statistically...

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 of DOE!  We will cover the analysis in this blog as well as the next several blogs.  The following are the main steps to perform during the analysis:...

Conducting the Experiment

In this week’s blog entry, we discuss some guidelines for conducting an experiment.  As we discussed in an earlier post, planning the study is critical for a successful outcome.  A good plan makes the conduct of the study straight-forward. Below are some key aspects...