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Mean deviation is the same as mean absolute deviation;deviation; it is mean deviation from the mean. $$ MAD=\frac{1}{N}\sum_{i=1}^{N}|x_i-\overline{x}| $$

Mean absolute differencedifference is for two independent values $X$ and $Y$ $$ MD=E[|X-Y|] $$

Mean deviation is the same as mean absolute deviation; it is mean deviation from the mean. $$ MAD=\frac{1}{N}\sum_{i=1}^{N}|x_i-\overline{x}| $$

Mean absolute difference is for two independent values $X$ and $Y$ $$ MD=E[|X-Y|] $$

Mean deviation is the same as mean absolute deviation; it is mean deviation from the mean. $$ MAD=\frac{1}{N}\sum_{i=1}^{N}|x_i-\overline{x}| $$

Mean absolute difference is for two independent values $X$ and $Y$ $$ MD=E[|X-Y|] $$

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Nick Cox
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Mean deviation is the same as mean absolute deviation, it'sdeviation; it is mean deviation from the mean. $$ MAD=\frac{1}{N}\sum_{i=1}^{N}|x_i-\overline{x}| $$

Mean absolute difference is for two independent values X$X$ and Y$Y$ $$ MD=E[|X-Y|] $$

Mean deviation is the same as mean absolute deviation, it's mean deviation from mean. $$ MAD=\frac{1}{N}\sum_{i=1}^{N}|x_i-\overline{x}| $$

Mean absolute difference is for two independent values X and Y $$ MD=E[|X-Y|] $$

Mean deviation is the same as mean absolute deviation; it is mean deviation from the mean. $$ MAD=\frac{1}{N}\sum_{i=1}^{N}|x_i-\overline{x}| $$

Mean absolute difference is for two independent values $X$ and $Y$ $$ MD=E[|X-Y|] $$

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Mean deviation is the same as mean absolute deviation, it's mean deviation from mean. $$ MAD=\frac{1}{N}\sum_{i=1}^{N}|x_i-\overline{x}| $$

Mean absolute difference is for two independent values X and Y $$ MD=E[|X-Y|] $$