Let X and Y be independent random variable with means 3 ,5 and variances 16,25 respectively. Find the mean and standard deviations of 5X-3Y?
Solution:
μX=3,μY=5σX2=16,σY2=25\mu_X=3,\mu_Y=5 \\\sigma_X^2=16, \sigma_Y^2=25μX=3,μY=5σX2=16,σY2=25
⇒σX=4,σY=5\Rightarrow \sigma_X=4, \sigma_Y=5⇒σX=4,σY=5
For 5X−3Y5X-3Y5X−3Y:
Mean=E[5X−3Y]=5E[X]−3E[Y]=5(3)−3(5)=0=E[5X-3Y]=5E[X]-3E[Y]=5(3)-3(5)=0=E[5X−3Y]=5E[X]−3E[Y]=5(3)−3(5)=0
Variance=Var[5X−3Y]=25Var[X]+9Var[Y]−2(5)(3)Cov(X,Y)=Var[5X-3Y]=25Var[X]+9Var[Y]-2(5)(3)Cov(X,Y)=Var[5X−3Y]=25Var[X]+9Var[Y]−2(5)(3)Cov(X,Y)
Cov(X,Y)=0Cov(X,Y)=0Cov(X,Y)=0 for independent random variable.
Thus, Var[5X−3Y]=25(4)+9(5)−0=100−45=55Var[5X-3Y]=25(4)+9(5)-0=100-45=55Var[5X−3Y]=25(4)+9(5)−0=100−45=55
Then, standard deviation=55=\sqrt{55}=55
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