5.4. Analysis of DOE data
|The importance of looking at the data with a wide array of plots or visual displays cannot be over-stressed||
The right graphs, plots or visual displays of a dataset can uncover
anomalies or provide insights that go beyond what most quantitative
techniques are capable of discovering. Indeed, in many
cases quantitative techniques and models are tools used to confirm
and extend the conclusions an analyst has already formulated after
carefully "looking" at the data.
Most software packages have a selection of different kinds of plots for displaying DOE data. Some of these useful ways of looking at data are mentioned below, with links to detailed explanations in Chapter 1 (Exploratory Data Analysis or EDA) or to other places where they are illustrated and explained. In addition, examples and detailed explanations of visual (EDA) DOE techniques can be found in section 5.5.9.
|Plots for viewing the response data||First "Look" at the Data|
|Plots for viewing main effects and 2-factor interactions, explanation of normal or half-normal plots to detect possible important effects||
Subsequent Plots: Main Effects, Comparisons and 2-Way Interactions
|Plots for testing and validating models||Model testing and Validation|
|Plots for model prediction||Model Predictions|