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Design-Expert v23.1
What’s New
Installation
Getting Started
Tutorials
Designs
Pre-Experiment
Analysis
Optimization
Post Analysis
Python Integration (Stat-Ease 360
®
only)
Advanced Topics
Hints and FAQs
Creating a Design
Putting Data In and Getting Results Out
Making Output Look Nice
Interpreting the Analysis
Coping with Unusual Outcomes
When All Else Fails
Screen Tips
Technical Support
Statistical Support
Credits
Design-Expert
» Hints and FAQs
Hints and FAQs
Creating a Design
Entering Missing data
Changes to the design
Can’t run one combination of factor levels
Messed-up coding levels
Planning a two-factor experiment
Too many runs on Multilevel Categoric designs
How Many Levels Do I Need?
Putting Data In and Getting Results Out
Importing/Exporting Data
Analyzing historical data (data mining)
View alias structure for pre-existing design
Fitting more than one model to a response
Journaling
Making Output Look Nice
Formatting Data
Display problems - lines breaking on reports
Interpreting the Analysis
No significant effects
Green triangles on Half Normal Plot
Working with Factorial Screening Designs
Working with Mixture screening Designs
Coping with Unusual Outcomes
No lack-of-fit info
Predicted R-squared more than 0.2 lower than Adjusted R-squared
Negative Adjusted R-squared
Zero desirability in numerical optimization
Different results than outside calculations
When All Else Fails
Try Right-Clicking
Stat-Ease Direct Support
Screen Tips
3D Categoric
3D Surface
All Factors Plots
ANOVA
ANOVA by Maximum Likelihood
ANOVA by Restricted Maximum Likelihood (REML)
ANOVA for Linear Mixture
ANOVA for Mixtures
ANOVA for One Categoric Factor
ANOVA for Simple Samples
ANOVA with Center Points
Categoric “Contour” Plot
Click on a Response
Contour Plot
Cube Plot
Fit Summary
Graph Flags
Interaction Graph
One Factor Effects Plot
Perturbation Plot
Predicted vs. Actual (model graphs)
Standard Error Plot
Trace Plot
Transformation
Two Component Plot
Box-Cox Plot
Case Statistics Report
Cook’s Distance
Cook’s Distance Random Effects
Covariance Ratio
Covariance Trace
DFBETAS
DFFITS
Leverage
Normal Plot of Residuals
Predicted vs Actual
Residuals vs Factor
Residuals vs Predicted Plot
Residuals vs Run
Half-Normal Plot of Effects
Normal Plot of Effects
Numeric Selection List for Multi-Level Categoric Factors
Numeric Selection List for Two-Level Factors
Pareto Chart
Column Info Sheet
Design Constraints
Design Layout Screen
Design Summary
Evaluation - Graphs
Evaluation - Model
Evaluation Results
Graph Columns
Split-Plot Evaluation Results
Custom Designs
Response Information
Standard Designs
Welcome to Stat-Ease
Optimal Model Selection Screen
Historical
Mixture Component Info
Non-mixture Factor Info
Optimal Designs
Simple Sample
Split-Plot Combined optimal Model Selection Screen
Split-Plot Mixture Component Info
Split-Plot Non-Mixture Factor Info
Split-Plot Optimal Combined
User-Defined Designs
Custom User-Defined Model Selection Screen
Factor Aliasing
Factor Generators
Factorial Optimal Model Selection Screen
Replicates and Blocks
Irregular Fractions Factor Information
Min-Run Screening Factor Information
Min Run Characterize Factor Information
Multi-Level Categoric Factor Info
Split-Plot Power
Factorial Optimal Model Selection Screen
Plackett-Burman Factor Information
Power
Regular Two-Level Factorial Designs
Response Info
Response Info
Split-Plot 2-Level Factorial Design
Two-Level Factorial Factor Information
Replicates and Blocks
Split-Plot Multilevel Categoric Factor Info
Split-Plot Factorial Optimal Model Selection Screen
Split-Plot Optimal Factorial Design Selection
Split-Plot Response Info Upfront Power
Split-Plot Response Info Upfront Power
Taguchi Orthogonal Array
Two-Level Factorial Factor Information
Historical Designs
Mixture Design Options
Mixture Optimal Design Selection
Optimal Mixture Designs
Response Information
Screening Mixture Designs
Non-Simplex Screening Designs
Simplex Screening Designs
Simplex-Centroid Design
Simplex Lattice Design
Simplex Lattice Design
Simplex Design Options
User-Defined Designs
Mix User-Defined Model Selection Screen
Box-Behnken Design
Categoric Factor Info
Central Composite Design (CCD)
Definitive Screening
Historical Data Designs
Miscellaneous Designs
One Factor Design
Optimal RSM Designs
Other RSM Design Choices
Response Information
Optimal Model Selection Screen
Split-Plot Central Composite
Split-Plot Optimal Model Selection Screen
Split-Plot Optimal RSM
User-Defined Model Selection Screen
User-Defined Designs
Graphical_Optimization
Graphical Optimization Criteria
Graphical Optimization Graphs
Numerical Optimization Graphs
Numerical Optimization
Numerical Optimization Bar Graph
Numerical Optimization Criteria
Numerical Optimization Ramps
Numerical Optimization Report
Coefficients Table
Confirmation
Point Prediction Does Not Match Older Version
Point Prediction
Post Analysis
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