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🔍 Type 1 Gage Study
Bias & Linearity analysis, Cg/Cgk calculation
Use a "known reference" to verify the gage: a Bias study = measure one standard part repeatedly and check whether the mean is off; a Linearity study = measure several standards across low/mid/high range and check whether bias grows with range.
① Parameters
② Enter repeated measurements
① Parameters
② Enter data
What are Bias and Linearity?
· Bias: measure a standard part (known reference) N times; the difference between the mean and the reference. Large bias → the gage is systematically off and needs calibration; a t-test checks whether the deviation is "statistically significant"
· Linearity: measure standards across low/mid/high range; if bias grows with range (regression slope ≠ 0) → the gage has a linearity problem and needs adjustment or segment-wise calibration
· These three + Gage R&R form the four AIAG MSA variable studies; stability (periodically measuring a standard to check drift) has a separate tool
· Cg/Cgk come from VDA 5 (common in German industry); tolerance must be provided.
· Linearity: measure standards across low/mid/high range; if bias grows with range (regression slope ≠ 0) → the gage has a linearity problem and needs adjustment or segment-wise calibration
· These three + Gage R&R form the four AIAG MSA variable studies; stability (periodically measuring a standard to check drift) has a separate tool
· Cg/Cgk come from VDA 5 (common in German industry); tolerance must be provided.
About Gauge Bias & Linearity (Type 1 Study)
Gauge bias and linearity tool: Type 1 study for bias and Cg/Cgk, full-range multi-point linearity regression, auto acceptability verdict.
Learn more about this tool →
Gage R&R (Crossed)
Gage Stability Study
Kappa Attribute Agreement
GUM Measurement Uncertainty
Calibration Curve & Linearity
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