Mean deviation for \( n \) observations \( x_{1}, x_{2}, \ldots \ld...
Mean deviation for \( n \) observations \( x_{1}, x_{2}, \ldots \ldots, x_{n} \)
P from their mean \( \bar{X} \) is given by
W
(1) \( \sum_{i=1}^{n}\left(x_{i}-\bar{X}\right) \)
(2) \( \frac{1}{n} \sum_{i=1}^{n}\left|x_{i}-\bar{X}\right| \)
(3) \( \quad \sum_{i=1}^{n}\left(x_{i}-\bar{X}\right)^{2} \)
(4) \( \frac{1}{2} \sum_{i=1}^{n}\left(x_{i}-\bar{X}\right)^{2} \)
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