Correct Answer - Option 1 : 4.2 V
Concept:
For discrete random variable x:
Mean = E[x] = ∑I xi p (xi)
Mean square value (MSQ) = E[x2] = ∑I xi2 p (xi)
Variance (σ2) = E[x2] – {E(x)}2
Standard deviation (σ) \( = \sqrt {variance} \)
Calculation:
Given data: for the given PAM source
xi
|
-3
|
-1
|
1
|
3
|
P(xi)
|
0.2
|
0.3
|
0.3
|
0.2
|
Mean = E[x] = ∑i xi p (xi)
= (-3)(0.2) + (-1)(0.3) + (1)(0.3) + (3)(0.2)
= 0
MSQ = E[x2] = ∑I xi2 p (xi)
= (-3)2(0.2) + (-1)2(0.3) + (1)2(0.3) + (3)2(0.2) V
= 4.2 V
Variance = E[x2] – {E[x]}2
= 4.2 – 0
= 4.2 V
Important point:
For continuous random variable x:
Mean = E[x] \( = \mathop \smallint \nolimits_{ - \infty }^\infty f\left( x \right)dx\)
∵ f(x) = probability density function of C.R.V (X)
Mean square value = E[x2] \( = \mathop \smallint \nolimits_{ - \infty }^\infty {x^2}f\left( x \right)dx\)
Variance (σ2) = E[x2] – {E[x]}2