Absolute Deviation Calculator | Compute absolute deviation
Last updated: June 2026 · Free · No sign-up required
Enter values above and click Calculate to see your result instantly.
Quick reference
| Term | Definition |
|---|---|
| Deviation | x − center (mean or median) |
| Absolute deviation | |x − center| (always ≥ 0) |
| MAD (mean) | Average of |x − mean| |
| MAD (median) | Average of |x − median| |
| Use | Robust, intuitive measure of spread |
info Absolute Deviation Calculator
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Interpretation guide
| MAD size | What it means |
|---|---|
| MAD near 0 | Values cluster tightly at the center |
| Larger MAD | Values are more spread out |
| MAD vs SD | MAD is smaller and resists outliers |
| Median-based MAD | Most robust to extreme values |
lightbulb Worked example
Result: The calculator instantly applies the formula MAD = (1/n) × Σ |xᵢ − x̄| and returns the result with appropriate precision.
What this means: Read the result in the context of what you are measuring. The step-by-step breakdown lets you confirm the math and understand which input most affects the outcome.
Formula & methodology
Formula: MAD = (1/n) × Σ |xᵢ − x̄|
How mean absolute deviation is calculated
The tool applies MAD = (1/n) × Σ|xᵢ − x̄| — the average of the absolute differences between each value and the mean. Unlike the standard deviation, it does not square the deviations, so it measures typical distance in the original units without amplifying outliers.
Example: for 4, 8, 6, 4, 10 with mean 6.4, the absolute deviations are 2.4, 1.6, 0.4, 2.4, 3.6, averaging 2.08.
Reading the result: the MAD is the most interpretable spread measure — 'on average, values sit about 2 units from the mean'. It is more robust to outliers than the standard deviation and pairs well with the median for skewed data, while the SD remains the standard for statistics that assume normality.
Authoritative source: Wolfram MathWorld
Frequently asked questions
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