Data - Attribute Gage Study (Analytic Method)
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You must have at least eight parts to conduct an attribute gage study. The smallest part must have zero acceptances, and the largest part must have the maximum number of possible acceptances. For the AIAG method for testing bias, at least six parts must be greater than zero number of acceptances and less than 20--the maximum number of acceptances allowed in the AIAG situation. For the regression method, you may have more than six parts between the two extreme reference values.

If you specify the lower tolerance limit, the part with the lowest reference value must have 0 acceptances and the part with the highest reference must have the maximum number of possible acceptances. For the lower limit, as the reference values increase, the number of acceptances increases. If you specify the upper tolerance limit, the part with the lowest reference value must have the maximum number of possible acceptances and the part with the highest reference value must have 0 acceptances. For the upper limit, as the reference values increase, the number of acceptances decrease.

You can enter the number of trials as a constant or a column of data. When the number of trials is not identical for all parts, you must enter a column containing the number of trials for each part.

The number of trials for each part must be greater than or equal to 15. If you use the AIAG method (default) to test the bias of the gage, you must have at least 20 trials per part.

Minitab accepts either summarized or raw data for attribute gage studies.