Statistics made easy ®
Make breakthrough improvements to your product and process with Design-Expert software. Screen for vital factors and components, characterize interactions and, ultimately, achieve optimal process settings and product recipes. Set flags and explore contours on interactive 2D graphs; then visualize the response surface from all angles with rotatable 3D plots. Finally, maximize desirability for all your responses simultaneously and overlay them to see the “sweet spot” meeting all specifications. Design-Expert makes it incredibly easy to apply powerful multifactor testing tools.
New Release: Version 12!
- The new release of Design-Expert includes many new additions to its design, analysis, and visualization components. All done while keeping our intuitive and easy-to-use interface intact.
Design Your Experiment
Design-Expert provides powerful tools to lay out an ideal experiment on your process, mixture or combination of factors and components. When in doubt, build it stout via in-line power calculations and the ability to add blocks and center points. Design-Expert’s design wizards and intuitive layouts such as the stoplight configuration for two-level factorials make it all far easier than you’d even imagine. Check it out!
Analyze Your Data
Design-Expert makes it easy to see what, if anything, emerges as statistically significant and how to model the results most precisely. It provides the confidence you need to present and, perhaps, publish your findings. Don’t take our word for it, test it out with one or more of the data sets that come with the software.
Visualize Your Results
Design-Expert offers a wide selection of graphs that help you identify standout effects and visualize your results. Its outputs create a strong impression when you communicate your findings to supervisors and peers. Download the free trial today, skim through the response surface tutorial provided under ‘Help’, and see for yourself.
Go to https://www.statease.com/software/design-expert/for details and ordering information on the books listed above.
Version 12 of Design-Expert® is centered around the long awaited Logistic Regression analysis option, which allows you to analyze data that are binary in nature (true or false, zero or one, pass or fail). In addition, we have added a few new general plotting tools, improved the legend, and moved more graphs into a notebook (multi-pane) view.
Here are the highlights:
- Responses with binary data (every cell is a 0 or 1) will have a Logistic Regression option on the Transform tab.
- Chi-squared tests for logistic regression model term significance.
- McFadden, Adj. McFadden, and Tjur pseudo-R-squared statistics are available for logistic regression.
- Binary responses can be optimized using criteria based on the probability of success or failure.
- Model Graphs have been moved to a notebook interface.
- You can create multiple graphs simultaneously in side by side views.
- All graphs now have a dockable legend that can be moved independently of the graph.
- The legend can also be docked to the right or bottom of the graph via the right-click menu.
- Elements in the legend can be toggled individually via the right-click menu.
- The font size of the legend can be increased or decreased by hovering over it, holding control, and using the mouse scroll wheel.
- A histogram of any column of data can be generated in the Graph Columns node.
- You can set a third axis on the Graph Columns scatterplot to make it into a 3d scatterplot.
- Effects graphs have been moved to a notebook interface and can be compared side by side.
- The Cube plot can now be toggled between observed and predicted values.
- Pairwise comparisons when clicking on a point in Interaction or One Factor plots are now available in a separate toolbox.
- Categoric variables can now use Treatment contrasts, which compares each level to a user-selected control, or reference level.
- Helmert contrasts are also available, which compares each level to the mean of the previous levels.
- Ordinal contrasts no longer need to be numeric. If they are not numeric they are assumed to be evenly-spaced (e.g. “Low”, “Medium”, “High”).
- The choice of contrast types for categoric factors is shown in the ANOVA.
- Kowalski-Cornell-Vining (KCV) models are available as a Model Order choice.
- KCV models provide a more efficient alternative to a full crossed model when building.
- KCV models can be selected during the analysis as well.
|Design-Expert 12 (Single User or Network Client)|
|Hard Drive||250 MB free space|
|Server for Network Version (License Manager)|
|Hard Drive||100 MB free space|
Network version requires installation of the Reprise License Manager (RLM) as a service.
May be installed on a virtual server that is assigned a static ethernet MAC address.
Data and simulation files associated with the tutorials need to be downloaded separately.
There are a few DX8 tutorials noted below that will be replaced by DX9 versions as they become available.
|Tutorials (DX & DE)||Size||Description|
|General Multilevel-Categoric One-Factor||1.99 MB||Build and analyze a one-factor factorial design, “Bowling”|
|General Multilevel-Categoric Factorial||1.73 MB||Build and analyze a three-level design with factorial analysis, “Battery” [Battery.simx]|
|Two-Level Factorial||2.64 MB||Two-level factorial design, “Filtrate” [Filtrate.simx]|
|Foldover Designs||1.24 MB||Augment a factorial design by foldover (DX8 tutorial) [Biker.dxp]|
|Taguchi Designs||641.36 KB||Taguchi designs (DX8 tutorial) [Taguchi-L16.dxp]|
|Split-Plot General Multilevel-Categoric Factorial||1.03 MB||Build and analyze a split-plot factorial design, “Pulp” [Pulp.simx]|
|Tutorials (DX Only)||Size||Description|
|One Factor RSM||1.86 MB||Build and analyze a one-factor RSM design, “Driving”|
|Multi-Factor RSM||3.46 MB||Multifactor response surface, “RSM” [RSM.dxpx & RSM-a.dxpx]|
|Optimal Numeric||1.05 MB||Adding multifactor constraints to an optimal design|
|Mixture Designs||2.64 MB||Build and analyze a simplex-lattice design, “Mix” [Mix.dxpx & Mix-a.dxpx]|
|Combined Mixture-Process||1.65 MB||Build and analyze a mixture design with process factors, “Fish Patties” [Fish Patties.simx]|
|Optimal Categoric||1.28 MB||Adding categoric factors to an optimal design (DX8 tutorial) [Peel.dxp]|
|Historical RSM||824.21 KB||Analysis of highly correlated data, “Longley” (DX8 tutorial) [Longley.dxp]|
|Simple Sample||416.36 KB||How to use simple sample designs [Simple Sample-Motor Shaft.dxpx]|
|Split-Plot Factorial||698.29 KB||How to build a factorial split-plot [PCR with data.dxpx & PCR.simx]|
|Split-Plot Optimal||298.23 KB||How to build an optimal split-plot [PCR as Optimal Build (starter).dxpx]|
|Verification Runs||455.64 KB||How to use verification runs [RSM-a.dxpx] (DX9 Only)|
|Confirmation Runs||323.3 KB||How to enter confirmation runs [RSM-a.dxpx] (DX9 Only)|
|What’s new in version 9?||1.82 MB||Illustrated highlights of new features in Design-Expert 9|
|New Factorial Design Builder||370.85 KB||DX9 factorial design builder: screenshots and comparison to DX8|
|Design-Expert 9 Tutorials||24.28 MB||Installs all Design-Expert tutorials and data files.|
|Design-Ease 9 Tutorials||10.81 MB||Installs all Design-Ease tutorials and data files.|
|Help||Video tutorial help and navigation tips|
|1||Building a 2-level factorial and sorting data|
|2||Analyzing the data in a 2-level factorial|
|3||Exploring the model graphs|
|4||Finding the optimum settings and confirming the model|
|1||Building and Analyzing an Optimal Mixture Design|
Design-Expert® (and Design-Ease®) software is published by Stat-Ease, Inc., Minneapolis, MN USA (www.statease.com).