The **median absolute deviation**, often abbreviated MAD, measures the spread of observations in a dataset. It is calculated as:

MAD = median(|x_{i} – x_{m}|)

where:

- x
_{i}: The i^{th}value in the dataset - x
_{m}: The median value in the dataset

This calculator finds the median absolute deviation for a given dataset.

Simply enter the list of the comma-separated values for the dataset, then click the “Calculate” button:

**Dataset values:**

**Median Absolute Deviation (MAD): 4.0000**