Statistical Methods

Check for a change in spread before pooling a research series

Keep the original order

Start with a sequence plot whose horizontal axis is time or acquisition order. Annotate predetermined changes in instrument, software, operator or collection schedule. Before calculating a pooled spread, check whether location and variability appear stable over the interval in which the pooled estimate would be used.

Compare comparable windows

Choose windows using recorded process events where possible. Report each window’s size and center alongside its spread. A window selected after searching for the most extreme change needs an exploratory label. A sharp change in observed dispersion can also arise from a new rounding or reporting rule.

Hypothetical check

The first four synthetic readings are 9, 11, 9 and 11. The next four are 6, 14, 6 and 14. Each group has mean 10. Their ranges are 2 and 8 units, a fourfold difference. A report giving only the two means would conceal the change; a single pooled dispersion would describe neither period particularly well.

Look back at the operating log and the reporting resolution. Retain all original observations and document any exclusion criterion before re-estimation. For a very short sequence, a descriptive plot can support further investigation but cannot reliably determine the timing or cause of a variance change.

Method checked 9 November 2026. NIST/SEMATECH Engineering Statistics Handbook, 1.3.3.25. Run-Sequence Plot.

Download the monitoring baseline selection record

Related reading

Reading path: Analyze data. Guide 100 of 102. Choose any guide to suit your project.

Statistical Methods

Distinguish process spread from off-center performance

Compare a stable process with independently set specifications using Cp and Cpk.

Statistical Methods

Choose change scores or follow-up analysis deliberately

Separate the scientific target from the choice of baseline adjustment in repeated continuous measurements.

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