Mean $= \frac{30}{5} = 6$
$$\sigma^2 = \frac{\sum(x_i - \bar{x})^2}{n} = \frac{16+4+0+4+16}{5} = \frac{40}{5} = 8$$
Verified 30 May 2026.
The variance of the data $2, 4, 6, 8, 10$ is:
$8$
$10$
$6$
$4$
Mean $= \frac{30}{5} = 6$
$$\sigma^2 = \frac{\sum(x_i - \bar{x})^2}{n} = \frac{16+4+0+4+16}{5} = \frac{40}{5} = 8$$
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