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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 />

--------------------------------------------------------------------------------------------------------<br />

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 />

--------------------------------------------------------------------------------------------------------<br />

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 />

Page 29 of 55

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