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    Quantile

    AI fundamentals & modelsDistribution quantile
    Reading time: 2 min.Editorially reviewed on:

    Definition

    Describe a distribution using threshold values.

    A quantile marks a value below which a certain proportion of a distribution lies; calculation conventions differ for samples.

    Simply explained

    Sorted values are split at a specified position in the sequence.

    Why it matters in practice

    Quantiles describe, for example, typical and particularly high waiting times without relying solely on the mean.

    Example from business

    A hypothetical service observes the 90-percent quantile of its response times.

    Limits and pitfalls

    • With small samples and changing calculation rules, values can be unstable or poorly comparable.

    Origin & history

    Quantiles are a fundamental concept in statistics; the median is the 50-percent quantile.

    Use in mid-sized companies

    • Document quantile level, data window, and calculation method.

    Frequently asked questions

    Is the maximum a typical quantile target?

    It is particularly sensitive to individual extreme values.

    Sources

    Editorially reviewed on:

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    Next step

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