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We have:<br />

40<br />

"<br />

( ) !2<br />

1 = C 10 + x<br />

0<br />

dx = !C ( 10 + x)<br />

!1<br />

40<br />

=<br />

0<br />

C C 2<br />

! =<br />

10 50 25 C,<br />

PRACTICE EXAMINATION NO. 6<br />

and therefore C = 25<br />

= 12.5. Now we can calculate the probability over the interval (0, 5):<br />

2<br />

12.5( 10 + x)<br />

!2<br />

5<br />

"<br />

dx = !12.5( 10 + x)<br />

0<br />

!1<br />

5<br />

= 12.5 #<br />

0<br />

1 $ 1 '<br />

!<br />

%<br />

&<br />

10 15(<br />

) = 0.416667.<br />

Answer C.<br />

3. Study Note P-09-<strong>05</strong>, Problem No. 61<br />

An insurer’s annual weather-related loss, X, is a random variable with density function<br />

2.5 ! 200<br />

fX ( x)<br />

=<br />

2.5<br />

x 3.5 "<br />

$ , for x > 200,<br />

#<br />

$<br />

% 0, otherwise.<br />

Calculate the difference between the 25-th and 75-th percentiles of X.<br />

A. 124 B. 148 C. 167 D. 224 E. 298<br />

Solution.<br />

The cumulative distribution function of X is given by<br />

FX ( x)<br />

=<br />

x<br />

"<br />

200<br />

2.5 ! 200 2.5<br />

t 3.5<br />

dt = # 2002.5<br />

t 2.5<br />

x<br />

200<br />

= 1# 2002.5<br />

x 2.5<br />

for x > 200. Therefore, the p-th percentile x p of X is given by<br />

or<br />

p<br />

100 = F x p<br />

( 1 ! 0.01p)<br />

2<br />

( ) = 1 ! 2002.5<br />

2.5<br />

xp ,<br />

5 = 200<br />

,<br />

x p<br />

resulting in<br />

200<br />

xp =<br />

( 1 ! 0.01p)<br />

2 .<br />

5<br />

It follows that<br />

x75 ! x25 = 200<br />

! 200<br />

Answer A.<br />

0.25<br />

2<br />

5<br />

0.75<br />

2<br />

5<br />

= 123.8292.<br />

ASM Study Manual for Course P/1 Actuarial Examination. © Copyright 2004-2007 by Krzysztof Ostaszewski - 259 -

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