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To determine gage bias, a reference standard with a known
value is necessary. Measure the part on the gage being tested a minimum of 10 times, and
preferably more than 30 times. The greater the number of measurements, the greater the
accuracy. In virtually every case, there will be bias, however, the bias may not be
statistically significant. The significance is tested using the t-distribution, and
increasing the number of measurements increases the discriminatory power of the t-test. Input the measured values into the Gage Bias spreadsheet along with the reference value and the process variance and process tolerance if desired, click the Compute Bias button, and the bias study is complete. Click the print icon, and the results appear in the Report Writer. Right-click on the graph, and a tabbed dialog box appears that allows you to customize the graph.
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Quality Council of Indiana, Inc. 602 West Paris Avenue West Terre Haute, IN 47885 800-660-4215 812-533-4215 email: Information@QualityCouncil.com |
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