EXAM P SAMPLE SOLUTIONS
EXAM P SAMPLE SOLUTIONS
EXAM P SAMPLE SOLUTIONS
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68. Solution: C<br />
Note that X has an exponential distribution. Therefore, c = 0.004 . Now let Y denote the<br />
⎧x<br />
claim benefits paid. Then Y = ⎨<br />
⎩250<br />
for x<<br />
250<br />
and we want to find m such that 0.50<br />
for x ≥ 250<br />
m<br />
−0.004x −0.004x<br />
= 0.004e<br />
dx =−e<br />
m<br />
= 1 – e –0.004m<br />
∫<br />
0<br />
0<br />
This condition implies e –0.004m = 0.5 ⇒ m = 250 ln 2 = 173.29 .<br />
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69. Solution: D<br />
The distribution function of an exponential random variable<br />
T with parameter θ is given by F t<br />
−t<br />
θ<br />
= − e t > 0<br />
( ) 1 ,<br />
Since we are told that T has a median of four hours, we may determine θ as follows:<br />
1<br />
−4<br />
θ<br />
= F( 4) = 1−e<br />
2<br />
1 −4<br />
θ<br />
= e<br />
2<br />
4<br />
− ln ( 2)<br />
=−<br />
θ<br />
4<br />
θ =<br />
ln 2<br />
( )<br />
Therefore, ( ) ( )<br />
( )<br />
5ln 2<br />
−<br />
−5θ4−5 4<br />
Pr T ≥ 5 = 1− F 5 = e = e = 2 = 0.42<br />
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70. Solution: E<br />
Let X denote actual losses incurred. We are given that X follows an exponential<br />
distribution with mean 300, and we are asked to find the 95 th percentile of all claims that<br />
exceed 100 . Consequently, we want to find p95 such that<br />
Pr[100 < x< p95] F( p95) −F(100)<br />
0.95 = =<br />
where F(x) is the distribution function of X .<br />
PX [ > 100] 1 −F(100)<br />
Now F(x) = 1 – e –x/300 .<br />
−p95 /300 −100/300 −1/3−p95<br />
/300<br />
1 −e −(1 −e ) e −e<br />
1/3 − p95<br />
/300<br />
Therefore, 0.95 =<br />
= = 1−e<br />
e<br />
−100/300 −1/3<br />
1 −(1 −e<br />
) e<br />
p95<br />
/300<br />
e −<br />
= 0.05 e –1/3<br />
p95 = −300 ln(0.05 e –1/3 ) = 999<br />
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