Gage Linearity and Bias Study

Overview | How to | Example

 


 

Overview

The Gage Linearity and Bias Study can be used to determine the accuracy of your measurements through the expected measurement range. In other words, it can help you determine if your gage has the same accuracy when measuring objects of different sizes and if your gage is biased when compared to a master value.

 


 

How to

At the Excel Menu (For Excel 2007, go to Add-ins first)

  1. Choose ProcessMA > Quality Tools > Gage R and R > Gage Linearity and Bias Study

  2. In Measurement, select the column containing measurement data (Numeric)

  3. In Part, select the column containing part indicators (>=2 distinct values)

  4. In Reference, select the column containing master measurements (Numeric)

  5. In Process Variation , enter a value for the process standard deviation (Optional, Numeric, >0)

  6. Click OK

 

 

Example

You want to determine the accuracy of the measurement gage in your plant. You selected five parts to study which represented the range of measurements that you need to take. You also have the master value for each of these five parts. You got an operator to measure the parts in random and 10 times each.

  1. Open data worksheet by choosing ProcessMA > Tools > Data

  2. Choose ProcessMA > Quality Tools > Gage R and R > Gage Linearity and Bias Study

  3. In Measurement, select AT - Readings

  4. In Part, select AU - Samples

  5. In Reference, select AV - Reference

  6. Click OK

 

Results & Interpretation

The gage linearity and gage bias account for 1.3% and 5.8% of the overall process variation respectively.

 


 

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