Design-Expert software, version 7 (DX6) offers features you won't find anywhere else in an incredibly easy-to-use format.

This powerful program is a must for anyone wanting to improve a process or a product.With Design-Expert statistical software you can screen for vital factors, locate ideal process settings to achieve peak performance and discover your optimal product formulations.



The factorial design builder makes it easy to set up screening studies. Color-coded choices provide valuable information on experiment resolution.

Design-Expert offers an impressive array of design options.Version 6 provides more flexibility to handle categorical factors than ever before and allows them to be combined with mixture and/or process variables.After building your design, generate worksheets with your experiments laid out for you in randomized run order.Add, delete or duplicate runs in any design with the handy design editor.



Crossed Mixture-Process Design - Seven Blends (on Triangles) at Eight Process Combinations (Cube).

With annotated statistical analysis and an extensive context-sensitive help system, you can easily interpret the outputs.Interactive 2-D graphics support use of your mouse to drag contours or set flags that display coordinates and predicted responses.Rotatable 3-D plots make response visualization easy.

With the powerful optimization features in Design-Expert, you can maximize desirability for dozens of responses simultaneously.There are also unique tools for generating and graphing propagation of error (POE), thus allowing you to achieve six-sigma objectives for reducing variation.Maximize, minimize or hit targets with factor levels set to give you robust results.

“DX6 is the easiest to use, most complete and aesthetically pleasing DOE program I have seen.The robust capabilities are not available anywhere else.The combined process-mixture designs make DX6 the benchmark for all other DOE programs.”

-Ken Chatto, Consultant, Experimental Strategies, Inc. (South Carolina)

Design-Expert Features:
Powerful, Yet Easy to Use
Designed as a specialized DOE software package, Design-Expert 6 offers features for ease of use, functionality and power that you won't find in general statistical packages. You'll discover a wide variety of designs, the flexibility to modify designs, unique evaluation capabilities, tools for response modeling, graphics to simplify interpretation, multiple response optimization, POE capabilities, an intuitive interface and a greatly expanded help system.

A Tremendous Variety of Designs Meet All Your Experimental Needs
●Standard two-level full and fractional factorials (up to 256 runs) for testing up to 15 factors simultaneously, now also with minimum-aberration blocking choices*
●●General (multilevel) factorial designs (up to 32,000 runs) using factors with mixed levels*
●Taguchi orthogonal arrays*
●High-resolution irregular fractions, such as 4 factors in 12 runs
●Placket-Burman designs for 11, 19, 23, 27 or 31 factors in 12, 20, 24, 28 or 32 runs respectively
●Response Surface Method (RSM) designs, including central composite (small, face-centered, etc.), Box-Behnken (3-level), hybrid and D-optimal
●Mixture designs, such as simplex-lattice, simplex-centroid screening (for up to 24 components) and D-optimal



High-powered mixture design and analysis features lead you to optimal formulations.
●Combined mixture and process designs (mix your cake and bake it, too!)*
●Ability to graph any two columns of data on the XY graph (this is a great way to view a blocked effect)
●Easy-to-use automatic or manual model reduction●Ability to easily analyze designs with botched or missing data

Enjoy Incredible Flexibility in Design Modification
●Define your own generators for fractional factorial designs*
●Impose linear multivariable constraints on RSM or mixture designs
●Add categorical factors to RSM, mixture or combined designs
●Create a factorial candidate set for RSM designs when only specific factor levels are available*
●Ignore a row of data while preserving the numbers*

Build Confidence with Statistical Analysis of Data
●If your model is aliased, a warning will pop up prior to viewing the ANOVA for two-level fractional factorials, allowing you to make substitutions for aliased effects*
●Select optional annotated views for assistance interpreting the ANOVA*
●Inspect F-test values on individual model terms and confidence intervals on coefficients*
●Automatically select effects using Lenth's criteria or probability values
●Take advantage of new user preferences, ex: make a global change in the significance threshold (0.05 by default vs. 0.01 and 0.1)*

Take Advantage of Powerful Tools for Response Modeling
●Change models from RSM to factorial and back and from Scheffe (mixture) to slack (during design building and at model selection)*
●Add integer power terms to the model, for example, quartic*
●Select terms for model, error, or to be ignored (allows analysis of split-plot and nested designs)*

Simplify Interpretation with Terrific Graphics
●A quick summary of the design type as well as factor, response and model information is available by clicking on the design status node
●Discover significant effects at a glance withhalf-normal or normal probability plots, made easier by including points representing estimates of pure error (if available from your design)
●Graph alternative aliased interactions*



Brilliant graphics help you visualize response surface optimization.Real-time rotation allows fast viewing with minimal effort.



Vital factors pop out on Half Normal Plots. Discover the critical interactions affecting your product or process.
●See the Box-Cox plot for advice on the best response transformation*
●View a complete array of diagnostic graphs to check statistical assumptions and detect possible outliers (bonus feature: predicted-versus-actual graphs with a 45o line*)
●See the effects plot in the original scale after transforming the response
●Observe variation in predictions by viewing the least significant difference (LSD) bars on the model graphs
●Poorly predicted regions on contour maps are shaded to give you confidence in your predictions
●Slice your contour plots using a simple slide bar (and see actual design points when they're on a slice!)



Drag contours and set flags to predict responses at any combination of factors.

●Set flags to reveal the predicted response at any location
●Drag 2-D contours using your mouse
●Rotate 3-D graphics and see projected 2-D contours
●Edit colors, text and more to produce professional reports
●See all effects on one graph with trace and perturbation plots
●Plot the standard error of your design on any graph type (contour, 3-D, etc.)



Interactions like this are often the key to breakthrough discoveries.Go for the maximum combination or find the flats for robust operation.

Locate Your Sweet Spot with Multiple Response Optimization

●Maximize, minimize or target specific levels for both responses and factors
●Set weight and importance levels to prioritize responses for desirability
●Choose 2-D contour, 3-D surface, histogram or ramp desirability graphs
●Include categorical factors*
●Set factors at constant levels*
●Add equation-only responses, such as cost, to the optimization process
●Look at the overlay plot to view constraints on your process or formulation
●Predict responses at any set of conditions (including confidence levels)
●Discover optimal process conditions or formulations



Graphical optimization shows clear windows for multiple response optimization.
Achieve "Six-Sigma" Goals
●Explore propagation of error (POE) for mixtures, crossed designs and transformed responses, as well as RSM*
●For purposes of POE, enter your own response standard deviation or set it at zero

Save Time with Design-Expert's Intuitive Interface
●Easily maneuver through the program: down trees, through wizards, and across progressive toolbars.
●Quickly select the next step with incredibly easy-to-use push-buttons.
●Open reports and graphs for automatic updating.
●View numerical outputs spreadsheet style.
●Cut and paste graphics to your word processor or presentation, or numbers to and from a
Spreadsheet.
●Export any grid view as ASCII text, for example, design layouts or ANOVA reports
●View several graphs simultaneously using the handy pop-out option
●32-bit architecture provides maximum performance on Windows 95, 98, 2000, NT and beyond*
●Access graphic and spreadsheet options instantly with a simple right click
●Choose significant terms to plot from the pull-down list on the Factors Tool

Find the Answers to your Questions in the Expanded Help System (All new!)
●Greatly improved context-sensitive help provides immediate response*
●Better guidance helps you choose the best model*
●A bonus help section provides "quick start" advice to novices*
●Special user tips offer hints not normally found in help systems*

System Requirements
●Pentium 200 or higher recommended (minimum 486)
●Windows 95, 98, NT, 2000 or XP
●CD-Rom drive (Diskettes available upon request)
●10 MB hard-disk space
●Memory: Win 2000 or XP - 64 MB minimum, 128 MB recommended
Win 98 or NT - 32 MB minimum, 64 MB recommended
Win 95 - 16 MB minimum, 32 MB recommended
●Mouse
●Network licenses are available.

Extras!
●Free technical support
●Limited free statistical support
●Outstanding user guide with many helpful tutorials to illustrate the most powerful features
●30-day money-back guarantee
*New features in Design-Expert, version 7.

What's New in Version 7 Those of you who’ve used previous versions of Design-Expert software will be impressed with the many improvements in Version 7. Changes since version 6 include: What's New—The Highlights Pareto chart of t-values of effects: Quickly see the vital few effects relative to the trivial many from two-level factorial experiments. New “Color By” option: Color-code points on graphs according to the 　 level of another factor—a great way to incorporate another piece of 　 information into a graph. Right-click on any response cell and “ignore” it: This feature 　 allows you to ignore a response data point without having to ignore 　 the entire row. “Screen tips”: Press the new tips button for enlightenment on the 　 current screen—this is especially helpful for novice users. 3D surface plots for categorical factors: See colored bars towering　 above others where effects are greatest. “Min Run Res IV” (two-level factorial) designs for 5 to 50 factors: 　 Screen main effects with maximum efficiency in terms of experimental 　 runs. “Min-Run Res V” designs for 6 to 31 factors: Resolve two-factor interactions (2FI's) in the least runs possible while maintaining a balance in low versus high levels. Two-level fractional factorials for up to 512 runs and 21 factors: Build bigger designs than ever-before possible./li> On plots of effects simply draw a box around the ones you want selected for your model: This is much easier than clicking each one with your mouse. Central composite designs (CCD’s) are now available for up to 30 factors and 8 blocks: This represents a significant expansion in RSM capability. CCD’s are available that are based on the Min-Run Res V fractional-factorial core: Take advantage of a much more efficient design for larger numbers of factors. Box-Behnken designs are expanded up to 21 factors: This popular RSM design previously was limited to certain numbers of factors, but that is no longer the case. Crosshairs window: Predict your response at any place in the response surface plot. Full-color contour and 3D surface plots: Graduated or banded colorization adds life to reports and presentations. Magnification feature: An incredible tool for expanding a mixture graph that is originally a small sliver and difficult to interpret. Mixture-in-mixture designs: Develop sophisticated experiments for immiscible liquids or multilayer films involving separate formulations that may interact. Add blocks D-optimally: This feature will be especially useful for mixture designs, which previously could not be blocked automatically. Points on 3D graphs: See "lollipops" protruding from surfaces where actual responses were collected. Row(s) in the design layout are highlighted when point(s) are selected on the diagnostics: The highlighting feature makes identification of problematic data much easier. Numerical optimization solutions are now carried over to graphical optimization and point prediction: Explore the results of the numerical optimization on other screens. New Design Creation Design-builder updates resolution of two-level fractional factorials when the number of blocks is changed: Immediately see how segmenting a design might reduce its ability to resolve effects. Block names are now entered during the design build: Identify how you will break up your experiment, for example by specific shift, material lot or the like. “Min-run Res IV plus two” option: Ask for two extra runs to make your experiment more robust to missing data. User-defined base factors for design generators: You have more flexibility to customize fractional factorial designs. Expanded D-optimal capabilities—impose balance penalty, force categoric balance: This feature helps users equalize the number of treatments. CCD’s offer new alpha choices of “Practical,” “Orthogonal Quadratic” and “Spherical”: Develop more control over where you put your ‘star’ points. Coordinate Exchange capability for D-optimal designs: Avoid the arbitrary nature of designs constructed from candidate point sets. In General or Factorial D-optimal designs, categorical factors can be specified as either nominal or ordinal (orthogonal polynomial contrasts): This affects the layout of analysis of variance (ANOVA). Mixture design builder recognizes inverted simplexes and constrained regions that benefit by being inverted: This provides dramatic advantages in the power for estimating model terms. Simple ratios are allowed, for example: A/B, when specifying multilinear constraints: This is especially handy for mixtures with components that require certain stoichiometries. Specify the same amount for low and high in a mixture design: This is handy for keeping track of fixed component levels—these do not appear in the model. New Design Augmentation Tools “Semifold”: In only half the runs needed by a normal foldover, augment Res IV designs to resolve specified 2FI's aliased in the original block of runs. Add center points, blocks and replicates without rebuilding the design: This will be a real time-saver. New Analysis Capability From Alias List, Pareto Chart or Effects Plots views, right-click on effects to show aliases: Never lose sight of what really is being measured in fractional-factorial designs. Select alternative aliased effects: Choose what you think makes most sense based on your subject-matter knowledge. Backward stepwise regression is now applicable to factorial designs: This is useful for quickly analyzing general (categorical) factorials. Means and standard deviations for all experimental inputs (factors) and outputs (responses) are added to the Design Summary screen: This provides a handy assessment of your system. The user can define their preference for sums of squares calculations for both numeric and categoric factors to be sequential, classical, or partial: These distinctions are important for statisticians who want to do ANOVA in specific ways. Cox model option for mixtures: May be more informative for formulators with a standard (reference) blend to which they’d like to compare more-optimal recipes. New Diagnostics Capability DFFITS: Spot influential runs via this deletion diagnostic that measures difference in fits when any given response is removed from the dataset. DFBETAS: See from this deletion diagnostic how model terms change due to an influential run. Updated Graphics Grid lines on contour plots: See more readily what the coordinates are at any given point. Select the details printed on flags planted on contour plots: As a user you now can control this feature. Confidence bands on one-factor plots: Get a good feel for the uncertainty in a predicted response as a function of the factor level. Color-codes for positive versus negative effects: Assess plus or minus impacts on half-normal and Pareto plots. Smart tic marks: Get more-reasonably rounded settings straight off. Improved User Interface Export the graph to a file: Save the graph as an enhanced metafile (.emf) that can be inserted as a picture from file to Microsoft Word and the like. Set row status to normal, ignore or highlight: This allows users control over their design matrix. More Options for Design Evaluation Annotation option on reports: This will be a boon to those who may be unfamiliar with all the esoteric statistics needed for design evaluation. Customizable design evaluation content and power levels: Use the OPTIONS button to select which statistics to display, specific power levels to report, and whether to display the standard error or variance on the graph (with the option to scale by N—the number of runs in the design). Specify model terms to ignore so they don’t display in the alias list: For example, don’t bother showing interactions of four or more factors. Evaluation can be done on either design or a particular response: Shows the effect when data is missing from a specific response, but not all responses. Expanded Help Tutorial movies: See Flash demo’s of features via Screen Tips—a very effective way to show how to navigate through the software. Internet links: These are helpful connections to further information. New Import/Export Tools XML (eXtensible Markup Language) capability: Export design files or reports in viewable format that can be manipulated for further processing (The XML tool also allows import of designs created externally). Scripting capability: Run Design-Expert software in batch mode so it can be tied into more comprehensive lab-ware or used to cycle through massive quantities of data, for example from computer-based simulations. (Stat-Ease Sole Distributor For Greater China) MQIP Quality Management Intelligence Tank Rm.1314, No.27 Shui Yin 2 nd Heng Rd. GuangZhou , China p: 020-33689262,37597781, f: 020-37597782