EXAM P SAMPLE SOLUTIONS
EXAM P SAMPLE SOLUTIONS
EXAM P SAMPLE SOLUTIONS
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122. Solution: D<br />
x<br />
6<br />
e −<br />
The marginal distribution of Y is given by f2(y)<br />
= e e dx = 6 e dx<br />
–2y –y –2y –2y –3y<br />
= −6 e e + 6e = 6 e – 6 e , 0 < y < ∞<br />
∞<br />
−2y −3y<br />
Therefore, E(Y) = ∫ y f2(y)<br />
dy = ∫ (6ye − 6 ye ) dy = 6<br />
∞<br />
6 –2y 6 –3y<br />
2<br />
2 ∫ ye dy − 3<br />
3 ∫ y e dy<br />
0<br />
0<br />
∞<br />
0<br />
∞<br />
0<br />
y<br />
∫<br />
0<br />
–x –2y –2y<br />
∞<br />
∫<br />
0<br />
ye<br />
−2<br />
y<br />
y<br />
∫<br />
0<br />
∞<br />
∫<br />
–3y<br />
dy – 6 y e dy =<br />
∞<br />
∞<br />
But<br />
–2y<br />
2 y e dy and<br />
–3y<br />
3y<br />
e dy are equivalent to the means of exponential random<br />
∫<br />
0<br />
∫<br />
0<br />
∞<br />
–2y<br />
variables with parameters 1/2 and 1/3, respectively. In other words, 2 y e dy = 1/2<br />
∞<br />
–3y<br />
and 3y<br />
e dy = 1/3 . We conclude that E(Y) = (6/2) (1/2) – (6/3) (1/3) = 3/2 – 2/3 =<br />
∫<br />
0<br />
9/6 − 4/6 = 5/6 = 0.83 .<br />
--------------------------------------------------------------------------------------------------------<br />
123. Solution: C<br />
Observe<br />
Pr 4< S < 8 = Pr⎡ ⎣4< S < 8 N = 1⎤ ⎦Pr N = 1 + Pr⎡ ⎣4< S < 8 N > 1⎤ ⎦Pr<br />
1 −4 −8<br />
1 −1<br />
5 5 2 −1<br />
=<br />
3( e − e ) +<br />
6(<br />
e −e<br />
) *<br />
= 0.122<br />
N > 1<br />
*Uses that if X has an exponential distribution with mean μ<br />
a b<br />
1 t 1 t<br />
Pr ( a X b) Pr ( X a) Pr ( X b) e dt e dt e e μ<br />
∞ ∞<br />
− −<br />
− μ − μ μ<br />
≤ ≤ = ≥ − ≥ = ∫ − = −<br />
μ ∫ μ<br />
[ ] [ ] [ ]<br />
Page 54 of 55<br />
a b<br />
∫<br />
0<br />
0