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MeanDeviation

MeanDeviation[list]
gives the mean absolute deviation from the mean of the elements in list.
  • For the list {x1, x2, ..., xn}, the mean deviation is given by , where is the mean of the list.
  • MeanDeviation[{{x1, y1, ...}, {x2, y2, ...}, ...}] gives {MeanDeviation[{x1, x2, ...}], MeanDeviation[{y1, y2, ...}, ...]}.
Compute results at machine precision:
Obtain results at any precision:
Compute results for a large vector or matrix:
MeanDeviation is the Mean of absolute deviations from the Mean:
MeanDeviation is equivalent to the 1-norm of the deviations divided by the Length:
For large uniform datasets, MeanDeviation and MedianDeviation are nearly the same:
MeanDeviation as a scaled ManhattanDistance from the Mean:
Ratio of MeanDeviation to MedianDeviation for increasing sample size:
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