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Design-Expert v22.0
What’s New
Installation
Getting Started
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Pre-Experiment
Analysis
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Python Integration (Stat-Ease 360
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only)
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Creating a Design
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Interpreting the Analysis
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When All Else Fails
Screen Tips
Support
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Design-Expert
»
Hints and FAQs
» Screen Tips
Screen Tips
3D Categoric
3D Surface
All Factors Plots
ANOVA
ANOVA Sections
ANOVA by Maximum Likelihood
ANOVA Sections
ANOVA by Restricted Maximum Likelihood (REML)
ANOVA Sections
ANOVA for Linear Mixture
ANOVA Sections
ANOVA for Mixtures
ANOVA Sections
ANOVA for One Categoric Factor
ANOVA Sections
ANOVA for Simple Samples
ANOVA Sections
ANOVA with Center Points
ANOVA Sections
Categoric “Contour” Plot
Click on a Response
Contour Plot
Set Contour Values
Zoom
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
Options Button:
Fit Summary
Analysis
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
Design Information
Factor/Component Information
Response Information
Evaluation - Graphs
Evaluation - Model
Evaluation Results
Graph Columns
Split-Plot Evaluation Results
Custom Designs
Response Information
Entering Information About Your Responses
Standard Designs
Welcome to Stat-Ease
Optimal Model Selection Screen
Historical
Mixture Component Info
Non-mixture Factor Info
Optimal Designs
Simple Sample
Response Information
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
Power
Can a higher alpha risk (Type I Error rate) be tolerated?
If more runs are affordable…
If no more runs are affordable, look at the design…
If increasing the size of your stated delta is not an option…
If the noise is coming from your measurement system…
Factorial Optimal Model Selection Screen
Plackett-Burman Factor Information
Power
Can a higher alpha risk (Type I Error rate) be tolerated?
If more runs are affordable…
If no more runs are affordable, look at the design…
If increasing the size of your stated delta is not an option…
If the noise is coming from your measurement system…
Regular Two-Level Factorial Designs
Response Info
Response Info
Response Information
Continuous Response
Proportion Response
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
Response Information
Split-Plot Response Info Upfront Power
All Responses:
Taguchi Orthogonal Array
Two-Level Factorial Factor Information
Historical Designs
Mixture Design Options
Mixture Optimal Design Selection
Optimal Mixture Designs
Response Information
Entering Information About Your Responses
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
Entering Information About the Responses
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
Goals that apply to both factors and responses
Goals that apply to responses only
Goals that apply to factors only
Additional Tools
Numerical Optimization Ramps
Numerical Optimization Report
Coefficients Table
Confirmation
Point Prediction Does Not Match Older Version
Point Prediction
Post Analysis
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