Tool for executing variables sampling plans. State of the art procedures for testing for normality and transforming nonnormal data. Makes confidence statements as to the percent conforming to specifications.
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It provides a means of performing Normal Tolerance Intervals (K-intervals) and Variables Sampling Plans on data that does not fit the normal distribution. The analysis performed includes:
Distribution Analyzer 1.2
- Selection of Best Fit Distribution and Estimation of Parameters
- Test of Whether Selected Distribution Adequately Fits the Data
- Determination of a Transformation (Function) That Can be Applied to Data so that Transformed Data Fits the Normal Distribution
- Construction of Tolerance Intervals Including a Specified Percentage of the Future Values (Normal Tolerance Interval)
- Confidence Statements for Percentage of Future Values in Spec (Variables Sampling Plan)
Distribution Analyzer 1.2
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