LimitLine

Learn · updated 2026-10-21

The I-MR chart (individuals and moving range)

Use an I-MR chart when you get one measurement at a time: one reading per batch, per shift or per day. It is two charts: the individual values, and the moving range between neighbouring values.

The formulas. x̄ is the mean of the values, MR̄ the mean of the moving ranges |xᵢ − xᵢ₋₁|.

Individuals chartUCL = x̄ + 2.66 × MR̄CL  = x̄LCL = x̄ − 2.66 × MR̄Moving range chartUCL = 3.267 × MR̄CL  = MR̄LCL = 0

2.66 is 3 / 1.128 (three sigma, with σ estimated as MR̄ / d2 for ranges of 2). 3.267 is the D4 constant for n = 2.

Worked example: NIST flow rate

Ten batches from the NIST/SEMATECH e-Handbook:

BatchFlow rateMoving range
149.6—
247.62.0
349.92.3
451.31.4
547.83.5
651.23.4
752.61.4
852.40.2
953.61.2
1052.11.5
  1. Mean of the ten values: x̄ = 50.81.
  2. Mean of the nine moving ranges: MR̄ = 1.8778.
  3. Individuals limits: 50.81 ± 2.66 × 1.8778 → UCL 55.80, LCL 45.82.
  4. Moving range limit: 3.267 × 1.8778 = 6.13.
UCL 55.80LCL 45.82CL 50.81Point 1: 49.6Point 2: 47.6Point 3: 49.9Point 4: 51.3Point 5: 47.8Point 6: 51.2Point 7: 52.6Point 8: 52.4Point 9: 53.6Point 10: 52.112345678910
Individuals chart drawn from the numbers above. Every point is inside the limits, so there is no sign of a special cause on rule 1.

These match the values NIST prints (UCL 55.80, LCL 45.82). LimitLine runs this exact example as a regression test on every release; see the validation page.

Reading it

When not to use it

If you measure several parts per sample, an X̄-R or X̄-S chart is more sensitive. If you count defects or defectives, use an attribute chart. See which control chart to use. The I-MR chart also assumes roughly normal data more than the X̄ charts do, so check a histogram.

Open this example in LimitLineThe app's built-in Individuals example is this NIST data set.

Sources

  1. NIST/SEMATECH e-Handbook of Statistical Methods, §6.3.2.2 Individuals Control Charts
  2. NIST/SEMATECH e-Handbook, §6.3.2.1 (control-chart constants)