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with density function<br />

! 2x, for 0 < x < 1,<br />

fX ( x)<br />

= "<br />

# 0, otherwise.<br />

What is E( X( 6)<br />

)?<br />

A. 1<br />

2<br />

2<br />

B.<br />

3<br />

5<br />

C.<br />

6<br />

Solution.<br />

The CDF of the original distribution is:<br />

x<br />

FX ( x)<br />

= ! 2tdt = t 2<br />

0<br />

t = x<br />

t =0<br />

= x 2<br />

6<br />

D.<br />

7<br />

12<br />

E.<br />

13<br />

PRACTICE EXAMINATION NO. 6<br />

for 0 < x < <strong>1.</strong> We also have FX ( x)<br />

= 0 for x ! 0, and FX ( x)<br />

= 1 for x ! <strong>1.</strong> Therefore,<br />

FX ( x)<br />

= Pr X<br />

( 6)<br />

( ( 6)<br />

! x)<br />

= ( FX ( x)<br />

) 6<br />

= x 12<br />

for 0 < x < <strong>1.</strong> Also, FX ( x)<br />

= 0 for x ! 0 and F<br />

( 6)<br />

X ( x)<br />

= 1 for x > <strong>1.</strong> Hence, for 0 < x < 1,<br />

( 6)<br />

sX ( x)<br />

= 1 ! x<br />

( 6)<br />

12 ,<br />

( x)<br />

= 0 for x ! <strong>1.</strong> Therefore,<br />

and sX( 6)<br />

Answer E.<br />

( ) = 1 ! x 12<br />

1<br />

" ( )dx = x ! x13 # &<br />

$<br />

%<br />

13 '<br />

E X 6<br />

( )<br />

0<br />

1<br />

( 0<br />

= 12<br />

13 .<br />

6. February 1996 Course 110 Examination, Problem No. 2<br />

Let X be a normal random variable with mean 0 and variance a > 0. Calculate Pr X 2 ( < a).<br />

A. 0.34 B. 0.42 C. 0.68 D. 0.84 E. 0.90<br />

Solution.<br />

Since a > 0, and a is the variance, a is the standard deviation of X. Therefore, if we denote a<br />

standard normal random variable by Z, and the standard normal CDF by !, we get<br />

Answer C.<br />

( ) = Pr<br />

! a ! 0<br />

<<br />

a<br />

X ! 0<br />

"<br />

a ! 0%<br />

$<br />

<<br />

#<br />

a a<br />

'<br />

&<br />

=<br />

= Pr ( !1 < Z < 1)<br />

= ( ( 1)<br />

! ( ( !1)<br />

= ( ( 1)<br />

! ( 1! ( ( 1)<br />

) =<br />

= 2( ( 1)<br />

! 1 = 2 ) 0.84134474 ! 1 = 0.68268948.<br />

Pr X 2 ( < a)<br />

= Pr ! a < X < a<br />

ASM Study Manual for Course P/1 Actuarial Examination. © Copyright 2004-2007 by Krzysztof Ostaszewski - 261 -

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