Home / DMAIC / Measure

Measure · Tool guide 31 of 40

Spread Parameter Span

The word span is used inconsistently for measures of spread. This guide uses it as a named quantile span: the difference between two stated percentiles, with Q3 − Q1 (the interquartile range) as the worked example. The percentile pair and calculation convention must always be specified.

Expected output: A named quantile-spread measure with its exact definition.

01 · Purpose

Why and when to use it

Use a central quantile span when a measure less dominated by extreme observations is useful. Do not compare results labelled “span” until their definitions match.

Who takes part?

The measurement owner works with people who understand the process and the recorded data. Statistical or measurement-system decisions should involve someone able to check the assumptions and study design.

02 · Application

How to apply it

Start with an agreed measurement purpose, explicit units and trustworthy observations. Identify missing cases and assumptions before calculating.

  1. Choose the percentile pair based on the purpose.
  2. Specify the quantile calculation convention.
  3. Calculate the lower and upper quantiles.
  4. Subtract the lower from the upper.
  5. Report the pair, unit, sample size and excluded-tail implications.

03 · Example

A worked measurement example

Original fictional teaching example. Small datasets illustrate the method; they are not proposed as sufficient study sizes. Supplied parameters are assumptions, not estimates from a real process.

2, 4, 4, 6, 9 minutes; linear interpolationResult
Q1 / Q34 / 6 minutes
Interquartile span (IQR)6 − 4 = 2 minutes
Full observed range9 − 2 = 7 minutes; a different definition

04 · Interpretation

What the result tells you

The central-half span is two minutes under this convention. It says little about the worst delays outside the central half.

Completion check: A named quantile-spread measure with its exact definition.

05 · Judgement

Mistakes and limitations

This local definition is explicit because the book’s chapter-specific terminology has not been verified. Use the named percentile-distance guide for P90 − P10 and avoid an unqualified “span” label.

07 · Reading

Sources and further reading

The tool list follows the accepted LeanTrainingLab overview and its reference to Six Sigma+Lean Toolset, second edition (Lunau, editor; Springer, 2013). The book chapters were not available for direct review during this build. Explanations, examples and worksheets are original teaching material. Further reading supplies professional background; local conventions are stated explicitly.