Hi Devika.. :)
22) X1,X2..Xn are random variables which are uniformly distributed in [0,1]. Now, we need to find the mean of another random variable(Y) which a function of (X1,..Xn)
i.e. Y=max{X1,X2,....Xn}
(As Y is a
max observed completion time)
In order to find the mean of Y, we must know its disrtibution.
So, lets first find out its distribution.
(Pr(Y ≤ y) = Pr(max{X1,X2,...,Xn} ≤ y)
= Pr(X1 ≤ y,X2 ≤ y,...,Xn ≤ y)
= Pr(X1 ≤y)·Pr(X2 ≤y)···Pr(Xn ≤y)...by independence of Xi’s
= y^n
Therefore, pdf of Y , f(y) = n*y^n-1.
Therefore, mean of Y = integral of [(y)*f(y)]dy from 0 to 1.
= integral of [y*(n)*(y^n-1)]dy from 0 to 1.
= n/n+1
:)