Attribute Gage Study (Analytic Method)overview how to data example see also
Attribute Gage Study (Analytic Method)Stat > Quality Tools > Gage Study > Attribute Gage Study (Analytic Method)
Attribute gage studies calculate the amount of bias and repeatability of a measurement system when the response is a binary attribute variable. To obtain good estimates of bias and repeatability, you should strictly follow the rules in [1] to select parts with known reference values. The reference value is the known and correct continuous measurement associated with each part.
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Note |
Attribute Gage Study (Analytic Method), a method to examine the precision of an attribute measurement system, is different from Attribute Agreement Analysis, a technique to assess appraisers' agreement. Attribute Agreement Analysis was previously called Attribute Gage R&R Study in Minitab Release 13. |
Part numbers: Enter the column containing the part names or numbers.
Reference values: Enter the column containing the numeric reference values. The reference value is the known and correct continuous measurement associated with each part. You must set up your reference value column differently for summarized and raw data. See Data - Attribute Gage Study (Analytic Method) for more information.
Binary attributes in
Summarized counts: Choose to enter a column containing the summarized counts.
Number of trials: Enter the number of trials.
Attribute label: Enter the attribute label (default is Acceptance).
Raw data: Choose to enter a column containing the raw data.
Attribute for calculation: Enter the attribute for estimating probabilities, which must match one of the two raw data values.
Tolerance limit for calculation
Lower limit: Enter the lower tolerance limit. You must specify either a lower or upper tolerance limit
Upper limit: Enter the upper tolerance limit. You must specify either a lower or upper tolerance limit
Display the other limit: Enter another limit to display on the Gage Performance Curve (optional).