6. (a) For normal distribution with mean zero and variance 2
σ show that:
2
(| |) σ
π
E x =
(
Given,
Mean μ= 0\mu =\ 0\\μ= 0
Variance =σ2= {\sigma}^2=σ2
To prove: σ=E(X2)\sigma=\sqrt{E(X^2)}σ=E(X2)
We know that
Var(X)=E(X2)−E(X)2Var(X)= E(X^2)-E(X)^2Var(X)=E(X2)−E(X)2
Var(X)=E(X2)−μ2Var(X)=E(X^2)-\mu^2Var(X)=E(X2)−μ2
But μ=0\mu = 0μ=0
So, Var(X)=E(X2)⇒σ2=E(X2)Var(X)= E(X^2)\\\Rightarrow \sigma^2 = E(X^2)Var(X)=E(X2)⇒σ2=E(X2)
Hence, σ=E(X2)\sigma = \sqrt{E(X^2)}σ=E(X2)
Need a fast expert's response?
and get a quick answer at the best price
for any assignment or question with DETAILED EXPLANATIONS!
Comments