Q-DAS qs-STAT is a software package designed to evaluate production-relevant quality information statistically and to assess processes and systems. Significant and well-established statistical evaluations provide the basis for the assessment and continuous improvement of processes in industrial production. Furthermore, the standards and guidelines included in the software provide necessary orientation.
Table of Contents
qs-STAT product documentation
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Getting Started The qs-STAT brief introduction gives a rough overview of the product itself. Part of the documentation is the intended use case and the main functions. This documentation is not by all means a substitute to detailed training but they can help the users with quick start. Link to: Brief Inroductions |
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Reliable statistics |
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Visualisation of results Link to: Menu Navigation - Graphics Tab |
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Eligibility Statement |
qs-STAT case studies
The "Case Studies" series provides an in-depth and detailed explanation of possible application scenarios and their configuration. It helps the reader to get a practical approach to the software, get an overview of its functions and prepare for future workshops. In the case studies for qs-STAT, examples of various analyses are shown, mostly supported by prepared report files.
| CAS 0401 C- and P- Values according AIAG Comparison C- and P-values. A case study to output the Capabilities like required from the AIAG. ZIP-file with Report Template: CAS_0401.zip |
English:PDF |
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| CAS 0402 Unbalance Study Unbalance Measurements. A case study to show the possibilities in qs-STAT. ZIP file containing test dataset: CAS_0402_Unbalance_Data-Structure-And-Food-For-Thought.zip |
English:PDF |
German: PDF | |
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CAS 0421 Symbol allocation tolerance limits |
English:PDF |
How to - Series
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This series of articles provides simple examples that do not require in-depth knowledge. These can be thought of as click-through instructions for specific questions. Link to: How to.. for qs-STAT |