For example, an engineer wants to assess the linearity and bias of a gage. The engineer selects 5 parts that represent the expected range of measurements. Each selected part was measured by layout inspection to determine its master measurement. One operator uses the gage to measure each part 12 times in random order. To see an example, go to Minitab Help: Example of Gage Linearity and Bias Study.
To add output from gage linearity and bias study, go to Add and complete a form.
Select parts across the actual or expected range of measurements so that you can evaluate whether your gage has the same accuracy for all sizes of parts that the gage measures. Each reference part must have a known measurement. A single operator measures all the parts and all the replicates so that the gage variation from different operators is not a factor. For details, go to Minitab Help: Data considerations for Gage Linearity and Bias Study.