MCQ
The variance of the data $2, 4, 6, 8, 10$ is
- A$6$
- B$7$
- ✓$8$
- DNone of these
Hence, variance = $\frac{1}{n}\Sigma {({x_i} - \overline x )^2}$
$ = \frac{1}{5}\{ {(2 - 6)^2} + {(4 - 6)^2} + {(6 - 6)^2} + {(8 - 6)^2} + {(10 - 6)^2}\} $
$ = \frac{1}{5}\left\{ {(16 + 4 + 0 + 4 + 16} \right\}$$ = \frac{1}{5}\left\{ {40} \right\}$ $ = 8$.
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