|
5.
Process Improvement
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
Various ways of looking at the data
Explanation of normal or half normal plots to detect possible important
effects
|
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 the majority of 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. DATAPLOT, in particular, has wide range of options
for visualizing DOE (or DEX) 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 to other places where they are illustrated
and explained.
First "Look" at the Data
|
||
