Home / Lean Six Sigma / Measurement system analysis (MSA)

Type 1 gage study, linearity and bias

Assess a measuring gage with parts of known value: repeatability and bias on one reference part (Cg, Cgk) or bias across the operating range (linearity). Run it before a gage R&R or when a new gage arrives: you need the readings and the reference value; you get whether the gage is capable (Cg and Cgk ≥ 1.33), whether it reads with a systematic error and where to correct it.

Pre-sizing and estimating tool: results do not replace design, calculations or reports signed by a licensed professional, nor verification against the applicable codes and standards.

CheckRevised 11/03/2026
Study type
Readings of the reference part
See what was read

One operator measures the same reference part of known value 25 to 50 times, re-positioning the part each time.

Your inputs stay only on this browser and are not sent anywhere. Untick to delete them.

—
—

Type 1 gage study

Key: Bias = mean of readings − reference (systematic error); T and P = bias t-test (P below 0.05: the error is real, not chance); Cg = repeatability only; Cgk = repeatability and bias together; both should be ≥ 1.33. %Var = how much of the allowed band the gage uses (should be ≤ K).

Run chart of the readings

Each reading in order, with the reference, the band Ref ± K/2 of tolerance and the mean.

How to read: horizontal axis = reading order; vertical axis = value read. Green line = part reference value; red dashed = band allowed to the gage; dotted = mean. Red points are outside the band. Good: points tight around the reference, not rising or falling over time.

Tap the chart to see the values.

Histogram of the readings

Distribution of the readings with the normal curve, the reference and the band Ref ± K/2 of tolerance.

How to read: bars = how many readings fell in each value bin; curve = normal distribution with the mean and SD of the readings. Vertical lines: reference, mean (X̄) and the limits of the allowed band. Good: the whole curve fits between the limits and the mean sits on the reference.

Tap the chart to see the values.

Next step

Take this page’s results to another calculator with the fields already filled in.

The calculation report gathers this page's inputs, results, equations, assumptions and references, with fields for project, engineer and revision. The full report also includes the charts and interpretations, in color. In the print dialog, choose Save as PDF.

Method, assumptions and references

Equations used

Type 1: bias = X̄ − ref; t = bias ÷ (s ÷ √n), df = n − 1; Cg = (K/100 · Tol) ÷ (L · s); Cgk = (K/200 · Tol − |bias|) ÷ (L/2 · s)
%Var (repeatability) = K ÷ Cg = 100 · L · s ÷ Tol; %Var (repeatability and bias) = K ÷ Cgk
Linearity: bias = a + b · reference (least squares); linearity = |b| · PV; %linearity = 100 · |b|; %bias = 100 · |average bias| ÷ PV
Bias by reference: t = |bias| ÷ (σr ÷ √n); σr = R̄ ÷ d₂*(m, g) with Duncan df ν (or sample s, df = Σ(nᵢ − 1))

Assumptions and limits

  • Type 1: the reference part is stable and its reference value has an uncertainty well below the tolerance; readings are independent and approximately normal. Two-sided tolerance (USL − LSL).
  • Linearity: the parts cover the operating range; 95% CI of the line from the standard error of the fitted value (df = n − 2). d₂* = √(d₂² + d₃²/g) and ν from Patnaik's approximation, which reproduces the Duncan table used in the MSA manual.

Standards and technical documents

  • AIAG. Measurement Systems Analysis (MSA) Reference Manual, 4th ed., 2010 (bias, linearity, Appendix C: d₂* table)
  • VDA Band 5: Mess- und Prüfprozesse. Eignung, Planung und Management, 3. Auflage, 2021
  • Robert Bosch GmbH. Booklet No. 10: Capability of Measurement and Test Processes, 2019
  • Minitab Help: Type 1 Gage Study; Gage Linearity and Bias Study (example and methods and formulas)
  • Duncan, A. J. Quality Control and Industrial Statistics, 5th ed. Irwin, 1986 (d₂* and ν)
  • SPC for Excel: Type 1 Gage Study (worked example used as default data)

U.S. regulations

  • ANSI/ISO/ASQ Q10012-2003: Measurement management systems — Requirements for measurement processes and measuring equipment
  • IATF 16949:2016, clause 7.1.5.1.1: Measurement systems analysis

Frequently asked questions

What is a type 1 gage study and when should I run one?

It is the first test of a new or repaired gage: one operator measures the same reference part of known value 25 to 50 times. The study separates gage repeatability (Cg) from bias against the reference value (Cgk) before involving several operators in a gage R&R. It is required by German automotive standards (VDA 5, Bosch Booklet 10) and widely used in PPAP.

How are Cg and Cgk calculated?

Cg = (K/100 × tolerance) ÷ (L × s) and Cgk = (K/200 × tolerance − |bias|) ÷ (L/2 × s), with K = 20% and L = 6 by default. In the default example (50 readings, reference 12.306 and tolerance 0.05), s = 0.00485, bias is 0.0015 and Cg = 0.34 and Cgk = 0.24: the gage is not capable for that tolerance.

What is the acceptance criterion?

The usual one is Cg ≥ 1.33 and Cgk ≥ 1.33, equivalent to %Var (repeatability) and %Var (repeatability and bias) up to 15% with K = 20%. Bias is also checked with a t-test: p < 0.05 means a real bias, to be fixed with a zero adjustment. Resolution should be at most 5% of the tolerance.

What is the bias t-test?

It compares the mean of the readings with the reference value: t = bias ÷ (s ÷ √n), with n − 1 degrees of freedom. In the example, t = 2.18 and p = 0.034: the 0.0015 bias is small but real. The confidence interval of the bias appears in the table, to compare with the uncertainty of the reference part.

What is a gage linearity and bias study?

It checks whether gage bias changes across the operating range. Per the MSA manual, pick at least 5 reference parts covering the range and measure each 10 times or more. The calculator fits the bias vs reference line and shows %linearity (100 × |slope|) and the bias at each reference with a t-test. In the manual example (references 2 to 10, 12 readings), the slope is −0.1317 (p < 0.001) and %linearity is 13.2%.

How do I read the linearity chart?

Grey dots are the bias of each reading, squares are the average bias per reference and the line is the regression with its 95% confidence interval. If the bias = 0 line fits entirely inside the interval, the MSA manual accepts the linearity. If the slope is significant, judge bias reference by reference: in the example, references 2, 8 and 10 show bias and 4 and 6 do not.

How do type 1, linearity, gage R&R and calibration checks differ?

A type 1 study uses one reference part and one operator and measures repeatability and bias at one point. Linearity extends bias to the whole range. Gage R&R uses real parts and several operators and measures reproducibility and how well the system sees process variation. A calibration check compares the instrument with a standard at several points and decides pass or fail by the instrument tolerance.