In: Statistics and Probability
f(x1, x2) = 4x1(1-x2) , 0<x1<1 0<x2<1
0, otherwise
(ii) For the same joint pdf, calculate E(X1X2) and E(X1 + X2)
(iii) Calculate Var(X1X2)
(ii) The expected value of X1X2 here is computed as:
Integrating with respect to x1, we get here:
Now integrating with respect to x2, we get here:
Therefore 2/9 is the expected value of X1X2 here.
Now the expected value of X1 + X2 is computed as: E(X1) + E(X2)
Integrating with respect to x1, we get here:
Integrating with respect to x2, we get here:
Therefore 1 is the expected value of X1 + X2 here.
(ii) The second moment of X1X2 here is first computed as:
Integrating with respect to x1, we get here:
Integrating with respect to x2, we get here:
Now the variance of X1X2 is computed here as:
Therefore 0.0340 is the required probability here.