Wednesday, February 12, 2014

Stat-Ease Design Expert v 7.0.0 Full Version



Design-Expert®, version 7 software (DX7) is a powerful and
easy-to-use program for design of experiments (DOE). With
it you can quickly set-up an experiment, analyze your data,
and graphically display the results. This intuitive software is
a must for anyone wanting to improve a process or a product.
Use it to screen for vital factors, identify ideal process
settings with response surface methods (RSM), and discover
your optimal product formulations via mixture design.
Design-Expert software offers an impressive array of design
options and provides the flexibility to handle categorical
factors and combine them with mixture and/or process
variables. After building your design, generate a run sheet
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 color graphics support use of
your mouse to drag contours or set flags that display coordinates
and predicted responses. Rotatable 3-D color
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.
With version 7 you will find dozens of new features that
make an already great product even better. Changes
include new design creation tools, enhanced design augmentation
ability, powerful analysis and diagnostic capabilities,
updated graphics, an improved user interface, more
options for design evaluation, expanded help, and new
import/export tools.

What's New in Design-Expert 7—The Highlights
• "Min-Run Res IV" (two-level factorial) designs for 5 to 50 factors: Use a minimum number of runs to             screen main effects.
• "Min-Run Res V" designs for 6 to 31 factors:
   Resolve two-factor interactions (2FI's) with a minimum number of runs.
• Two-level fractional factorials for up to 512 runs and 21 factors: Accomodate more factors than ever
   before possible.
• Pareto chart of effects: Quickly see the vital few effects relative to the trivial many in two-level factorial         experiments.

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