Design Expert – Student version for Mac and Windows-design-expert-studentenversion

Design-Expert – Best of breed in Design of Experiments!

Optimize your product or process with Design of Experiments (DOE). Design-Expert® 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 you can screen for vital factors, locate ideal process settings to achieve peak performance and discover your optimal product formulations.

Design-Expert offers an impressive array of design options. Design Expert provides great flexibility to handle categorical factors 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.

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.

Powerful, Yet Easy to Use

Designed as a specialized DOE software package, Design-Expert 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.

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A Tremendous Variety of Designs Meet All Your Experimental Needs

• Standard two-level full and fractional factorials (up to 512 runs) for testing up to 21 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, 32 or 64 runs respectively
• “Min-Run Res IV” (two-level factorial) designs for 5 to 50 factors: Screen main effects with maximum efficiency in terms of experimental runs.
• 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
• 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, for example, 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 with half-normal or normal probability plots, made easier by including points representing estimates of pure error (if available from your design)
• 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)
• Graph alternative aliased interactions
• 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!)
• 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.)
• 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

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

Further Information