Question
Consider the probability distribution of a random variable X:
X
0
1
2
3
4
P(X)
0.1
0.25
0.3
0.2
0.15
Calculate:
  1. $\text{V}\Big(\frac{\text{X}}{2}\Big)$
  2. Variance of X.

Answer

We have,
$X$
0
1
2
3
4
$P(X)$
0.1
0.25
0.3
0.2
0.15
$XP(X)$
0
0.25
0.6
0.6
0.60
$X^2P(X)$
0
0.25
1.2
1.8
2.40
var$(\text{X})=\text{E}(\text{X}^2)-\big[\text{E}(\text{X})\big]^2$
Where, $\text{E}(\text{X})=\mu=\sum_\limits{\text{i}=1}^\text{n}\text{x}^2_1\text{P}(\text{x}_1)$
$\therefore\text{E}(\text{X})=0+0.25+0.6+0.6+0.60=2.05$
And $\text{E}(\text{X}^2)=0+0.25+1.2+0.8+2.40=5.65$
  1. $\text{V}\Big[\frac{\text{X}}{2}\Big]=\frac{1}{4}\text{V}(\text{X})$
$=\frac{1}{4}\big[5.65-(2.05^2)\big]$

$=\frac{1}{4}[5.65-4.2025]$

$=\frac{1}{4}\times1.4475$

$=0.361875$
  1. $\text{V}(\text{X})=1.4475$

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