The design summary screen has a record of the original design type, the factor names and levels, and the response names and levels. It also summarizes the current model that has been chosen for each response, including whether or not a transformation has been applied.

An “R” in front of a model type means reduced model. So an RQuadratic is a reduced quadratic model – it has some, but not all, quadratic terms. R2FI means a reduced two-factor interaction model.

Details about the information contained on this page can be found by right-clicking on the cell of interest in the summary report and selecting the “Help” option.

**File Version** - The software version used to build the file is saved with the
file.

**Study Type** - The tab used to build the design (Factorial, Response Surface,
Mixture, Combined).

**Design Type** - Within each tab, the node used to build the design

**Design Model** - The model “designed for” when the design was built.

**Runs** - The number of rows in the Design Layout.

**Blocks** - The number of blocks in the current design.

**Build Time** - The number of milliseconds needed to build a design.

**Factor** - The factor IDs

**Name** - The experimenter supplied name for each factor

**Units** - The units of measure for each factor

**Type** - Categoric or Numeric or Mixture

**Subtype** - Nominal or Ordinal for categoric types, Continuous and Discrete
for numeric types.

**Minimum** - smallest numeric value for numeric or lowest assigned treatment
for categoric factors actually in the design

**Maximum** - largest numeric value for numeric or highest assigned treatment
for categoric factors actually in the design

**-1 Actual** - The lowest designed for value in the experiment (may differ from
the Minimum)

**+1 Actual** - The highest designed for value in the experiment (may differ
from the Maximum)

**Low Coded** - The lowest coded value designed for each factor in the
experiment (does not apply to categoric factors)

**High Coded** - The highest coded value designed for each factor in the
experiment (does not apply to categoric factors)

**Mean** - Average of the settings in each numeric factor column

**Std. Dev.** - Standard Deviation of the settings in each numeric factor column

**Name** - The experimenter supplied name for each response

**Units** - The units of measure or each response

**Obs** - The number of runs with data for each response

**Analysis** - The analysis type (factorial or polynomial).

**Minimum** - The smallest entry for each response

**Maximum** - The largest entry for each response

**Mean** - The average for each response

**Std. Dev.** - The standard deviation for each response

**Ratio** - Maximum / Minimum for each response

**Trans** - If analyzed, the transform used to fit the model

**Model** - Short description of the order of model fitted to the data during
analysis.