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Measure · Tool guide 27 of 40

Location Parameter Median

The median is the middle value of ordered observations. For an even number of numerical observations, a common convention averages the two central values. It is less sensitive than the mean to extreme observations.

Expected output: A median with clear data coverage and an appropriate interpretation.

01 · Purpose

Why and when to use it

Use it as a location summary when the distribution is skewed or when a resistant centre is useful.

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. Check eligibility and missingness.
  2. Sort the numerical values.
  3. Find the middle value or average the central pair.
  4. Report units, sample size and period.
  5. Interpret it with spread and tails, not as a guarantee about every case.

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.

Dataset (minutes)Median
2, 4, 4, 6, 94
2, 4, 6, 9(4 + 6) / 2 = 5

04 · Interpretation

What the result tells you

The five-value median of four minutes describes the centre; it does not mean all orders are packed within four minutes. A median target can conceal poor tail performance.

Completion check: A median with clear data coverage and an appropriate interpretation.

05 · Judgement

Mistakes and limitations

For ordinal categories, report a median category carefully rather than assuming arithmetic interpolation is meaningful. The median alone hides operationally important extremes.

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.