If $x_1, x_2, \ldots, x_n$ are $n$ observations and $\bar{x}$ is their mean. If $\sum_{i=1}^{n}(x_i - \bar{x})^2$ is almost zero,then which of the following statements is true?

• A
  It indicates a higher degree of dispersion of the observations from the mean $\bar{x}$.
• B
  It indicates that there is no dispersion.
• C
  $\sum_{i=1}^{n}(x_i - \bar{x})^2$ is the arithmetic mean of the data.
• D
  It indicates that each observation $x_i$ is very close to the mean $\bar{x}$ and hence the degree of dispersion is low.