If X is a random variable with probability distribution as given below.
Then, the variance of the distribution is |
$\frac{65}{51}$ $\frac{72}{49}$ $\frac{62}{49}$ $\frac{62}{51}$ |
$\frac{62}{49}$ |
The correct answer is Option (3) → $\frac{62}{49}$ ** Given probabilities: $k,\;2k,\;k,\;3k$ Total probability: $k + 2k + k + 3k = 7k = 1$ $k = \frac{1}{7}$ Now compute the mean: $E(X) = 0\cdot\frac{1}{7} + 1\cdot\frac{2}{7} + 2\cdot\frac{1}{7} + 3\cdot\frac{3}{7}$ $= 0 + \frac{2}{7} + \frac{2}{7} + \frac{9}{7} = \frac{13}{7}$ Compute $E(X^2)$: $E(X^2) = 0 + 1^2\cdot\frac{2}{7} + 2^2\cdot\frac{1}{7} + 3^2\cdot\frac{3}{7}$ $= \frac{2}{7} + \frac{4}{7} + \frac{27}{7} = \frac{33}{7}$ Variance: $\text{Var}(X) = E(X^2) - [E(X)]^2$ $= \frac{33}{7} - \left(\frac{13}{7}\right)^2$ $= \frac{33}{7} - \frac{169}{49}$ $= \frac{231}{49} - \frac{169}{49} = \frac{62}{49}$ Variance = $\frac{62}{49}$ |