Distribution
Distribution Identification
Compare candidate distributions using Anderson–Darling A², inspect Q–Q plots and select a model for further analysis.
Open toolQuality engineering, made practical
Turn measurement data into defensible decisions.
Evaluate measurement systems, identify suitable probability distributions and assess process capability in one consistent workflow.
1
Provide data
Enter values manually or inspect a CSV/XLSX file.
2
Run the analysis
Review calculations, diagnostics and acceptance criteria.
3
Document the result
Export a consistent PDF report when available.
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Analysis tools
Choose the method that matches your study design and data.
Capability
Normal Capability
Calculate within and overall capability, assess normality and review I–MR or Xbar–R stability diagnostics.
Open toolCapability
Non-normal Capability
Estimate performance for a fitted non-normal distribution, including expected nonconforming output and stability diagnostics.
Open toolMSA
MSA Type 1
Evaluate repeatability and bias for one operator measuring one reference part repeatedly.
Open toolMSA
MSA Type 2
Analyze crossed variable Gage R&R studies with parts measured repeatedly by multiple operators.
Open toolMSA
MSA Type 3
Analyze nested Gage R&R studies where each operator measures a different set of parts.
Open toolMSA
Attribute MSA
Review operator agreement, agreement with reference and the risks associated with false acceptance and false rejection.
Open tool