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InDXp - Industrial Designed Experiments 1.0.0

It is a plugin-module for the admaDIC Calculator.

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Last Week downloads: 0
Total downloads: 126
  • Last Updated: Jul 2, 2008
  • License: Shareware $173.00
  • OS: Windows XP/2000/98/Me/NT/Unix/Linux
  • Requirements: Java 5, AdmaDIC Calculator 1.1

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For InDXp - Industrial Designed Experiments 1.0.0Publisher's description

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InDXp - Industrial Designed Experiments is a Home & Education software developed by admaDIC. After our trial and test, the software is proved to be official, secure and free. Here is the official description for InDXp - Industrial Designed Experiments:

Industrial Designed Experiments (InDXp) is a plugin-module for the AdmaDIC Calculator. It helps in designing and carrying out experiments to identify which factors influence for instance the quality of product in a production process.

The module assists in entering the factors, defining the Factor interactions, defining the actual level selections for each run of experiments, storing the experimental results and perform the Analysis of significance of factors. Each step can be locked, to Prevent modifications of properties when the next steps are being carried out - for instance the factor definitions must be kept unchanged when the experiments are run.
Since MaSCa is a module for the admaDIC Calculator it is also platform independent.

Features:

Define factors and factor interactions
2-level analysis (linear relationships)
Easily toggle levels for runs
Input of experimental results
Calculate average and standard deviation
Perform level analysis for average results and standard deviation
Define number precision
Export data set as TXT
Copy & Paste to/from spreadsheet software (Excel, OpenOffice Calc, etc.)
you can free download InDXp - Industrial Designed Experiments 1.0.0 now.

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Please be aware that Brothersoft do not supply any crack, patches, serial numbers or keygen for InDXp - Industrial Designed Experiments,and please consult directly with program authors for any problem with InDXp - Industrial Designed Experiments.