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If $x_1, x_2, \ldots x_n$ are ' $n$ ' observations and $x$ is their mean. If $\sum_{i=1}^n\left(x_1-\bar{x}\right)^2$ is almost zero, then a true statement among the following is
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It indicates that each observation $x_i$ is very close to the mean $\bar{x}$ and hence degree of dispersion is low.
Since $\sum_{\mathrm{i}=1}^{\mathrm{n}}\left(\mathrm{x}_{\mathrm{i}}-\overline{\mathrm{x}}\right)^2$ is almost zero. So it indicates
that each observation $x_{\hat{i}}$ is very close to the $\bar{x}$. Hence degree of dispersion is low.
that each observation $x_{\hat{i}}$ is very close to the $\bar{x}$. Hence degree of dispersion is low.
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