Let X be a random variable whose probability distribution is given by the table
| X | 1 | 3 | 5 | 7 |
| P(X) | $\frac{1}{3}$ | $\frac{1}{6}$ | $\frac{1}{6}$ | $\frac{1}{3}$ |
Then variance of $x$ is
Answer & explanation
Correct answer: option 2
| X | 1 | 3 | 5 | 7 |
| $X^2$ | 1 | 9 | 25 | 49 |
| P(X) | $\frac{1}{3}$ | $\frac{1}{6}$ | $\frac{1}{6}$ | $\frac{1}{3}$ |
mean = $E(X) = ∑pixi = 1×\frac{1}{3}+3×\frac{1}{6}+5×\frac{1}{6}+7×\frac{1}{3}$
$E(X) =\frac{2+3+5+7}{6}=\frac{24}{6}=4=E(X)$
so $E(X^2) =∑pi{x_i}^2 =1×\frac{1}{3}+9×\frac{1}{6}+25×\frac{1}{6}+49×\frac{1}{3}$
$E(X^2) =\frac{2+9+25+98}{6}=\frac{134}{6}$
$σ^2$ (variance) = $E(X^2)-(E(X))^2$
$=\frac{134}{6}-4^2=\frac{67}{3}-16$
$=\frac{67-48}{3}=\frac{19}{3}$