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You do not have absolute deviation in isolation. Absolute deviation is usually defined around some measure of central tendency - usually the mean but it could be another measure.

The absolute deviation of an observation x, about a measure m is |x - m| which is the non-negative value of (x - m). That is,

|x - m| = x - m if x ≥ m

and m - x if x < m

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Q: How do you find absolute deviation?
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What is the mean absolute deviation of 8590687579?

None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0


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The answer depends on the purpose. The interquartile range and the median absolute deviation are both measures of spread. The IQR is quick and easy to find whereas the MAD is not.


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How do you calculate average deviation from the average value?

To calculate the average deviation from the average value, you first find the average of the values. Then, subtract the average value from each individual value, take the absolute value of the result, and find the average of these absolute differences. This average is the average deviation from the average value.


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How is standard deviation different from mean absolute decation?

If I have understood the question correctly, despite your challenging spelling, the standard deviation is the square root of the average of the squared deviations while the mean absolute deviation is the average of the deviation. One consequence of this difference is that a large deviation affects the standard deviation more than it affects the mean absolute deviation.