Analyzing the Experiment (Part V)

In the last Blog, we learned how to work with predictive models to find solutions that solve for desired responses.  We used some basic algebra to solve for solutions and looked at the use of contour plots to quickly visualize many solutions at a glance.  In this...

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:...