For a frequency distribution mean deviation from mean is computed by
(a) M.D. = $\frac{Σ f}{Σ f |d|}$

(b) M.D. = $\frac{Σ d}{Σ f}$

(c) M.D. = $\frac{Σ f d}{Σ f}$

(d) M.D. = $\frac{Σ f |d|}{Σ f}$

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Solution

$(d) MD = \frac{\sum_{}^{} f |d|}{\sum_{}^{} f}$

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For a frequency distribution mean deviation from mean is computed by (a) M.D. = ΣfΣf d (b) M.D. = ΣdΣf (c) M.D. = ΣfdΣf (d) M.D. = Σf dΣf

(d) MD=∑fd∑f

For a frequency distribution mean deviation from mean is computed by
(a) M.D. = $\frac{Σ f}{Σ f |d|}$

(b) M.D. = $\frac{Σ d}{Σ f}$

(c) M.D. = $\frac{Σ f d}{Σ f}$

(d) M.D. = $\frac{Σ f |d|}{Σ f}$

$(d) MD = \frac{\sum_{}^{} f |d|}{\sum_{}^{} f}$