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Median absolute deviation calculator (MAD)

Paste data to calculate a robust spread measure based on distances from the median.

MAD: —

Fill in the fields above — the result is computed on this page.

Sample size
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Median
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Scaled MAD (1.4826 × MAD)
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Minimum
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Maximum
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Deviations from the median

Position Value |x − median|
Fill in the fields above — the result is computed on this page.
What do these numbers mean?
  • A MAD of zero means that at least half of the absolute deviations from the median are zero.
  • Use the same definition and scaling when comparing groups.

MAD summarizes spread around the median but does not show skew direction or the complete distribution shape. Very small samples allow only a few possible values.

How do I use this page?
  1. Paste the observations.
  2. Review the median and absolute deviations.
  3. Read MAD and the scaled version.

What this page does not do: MAD summarizes spread around the median but does not show skew direction or the complete distribution shape. Very small samples allow only a few possible values.

Further reading

Theory — what is the median absolute deviation (MAD)?

The median absolute deviation, or MAD, is a robust spread measure: the median of the absolute deviations from the sample median. A single extreme observation affects it far less than it would affect the standard deviation, making MAD useful for data with outliers. A rescaled variant multiplies the raw MAD by a constant factor so it can be compared with the standard deviation of a normal distribution. MAD differs from the mean absolute deviation, which averages distances instead of taking their median.

Frequently asked questions

How does MAD differ from mean absolute deviation?
MAD takes the median of distances from the median. Mean absolute deviation averages distances from a chosen center.
Does MAD replace standard deviation?
Not in every analysis. It is a useful robust summary, while the appropriate measure depends on the model and purpose.

See also

← All calculators

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