For a frequency distribution mean deviat...

For a frequency distribution mean deviation from mean is computed by -

`M.D.=(Sigmaf)/(Sigmaf|d|)`

`M.D.=(Sigmad)/(Sigmaf)`

`M.D.=(Sigmafd)/(Sigmaf)`

`M.D.=(Sigmaf|d|)/(Sigmaf)`

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For a frequency distribution, mean deviation about mean is computed by

M.D.=`(Sigmaf)/(Sigmaf|d|)`

M.D.=`(Sigmad)/(Sigmaf)`

M.D.=`(Sigmafd)/(Sigmaf)`

`(Sigmaf|d|)/(Sigmaf)`

greater then that measured from any other value

less than that measured from any other value

equal to that measured from any other value

maximum if all observations are positive

`sigma=sqrt((Sigmafd^2)/(Sigmaf)-((Sigmafd)/(Sigmaf))^2`

`sigma=sqrt(((Sigmafd)/(Sigmaf))^2-(Sigmafd^2)/(Sigmaf))`

`sigma=sqrt((Sigmafd^2)/(Sigmaf)-(Sigmafd)/(Sigmaf))`

`sigma=sqrt(((Sigmafd)/(Sigmaf))^2-(Sigmafd^2)/(Sigmaf))`