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...

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...

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:...

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...

In this blog post, we discuss several important techniques to consider when conducting and analyzing an experiment. They are summarized in the table below and next we discuss each one in a bit more detail. Some of these techniques are bit more advanced (e.g....