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Course 1 May 2000 Multiple Choice Exams - Society of Actuaries

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33. Answer: B<br />

Let Y = positive test result<br />

D = disease is present (and ~D = not D)<br />

Using Baye’s theorem:<br />

PY [ | DPD ] [ ] (0.95)(0.01)<br />

P[D|Y] =<br />

PY [ | DPD ] [ ] + PY [ |~ DP ] [~ D ] = (0.95)(0.01) + (0.005)(0.99)<br />

= 0.657 .<br />

34. Answer: D<br />

⎧ y for 1< y≤10<br />

Let W denote claim payments. Then W = ⎨<br />

⎩10 for y ≥10<br />

10<br />

∞<br />

2 2 2 10 10 ∞<br />

It follows that E[W] = y dy+ 10 dy =− −<br />

3 3 1 2<br />

y y y y 10<br />

∫ ∫ = 2 – 2/10 + 1/10 = 1.9 .<br />

1 10<br />

35. Answer: E<br />

Let X J , X K , and X L represent annual losses for cities J, K, and L, respectively. Then<br />

X = X J + X K + X L and due to independence<br />

xt<br />

( xJ + xK + xL)<br />

t xt J xt K xt L<br />

M(t) = E⎡e E⎡e ⎤<br />

⎣<br />

⎤<br />

⎦ = = E⎡e ⎤E⎡ ⎣<br />

e ⎤<br />

⎦<br />

E⎡ ⎣<br />

e ⎤<br />

⎣ ⎦ ⎣ ⎦<br />

⎦<br />

= M J (t) M K (t) M L (t) = (1 – 2t) –3 (1 – 2t) –2.5 (1 – 2t) –4.5 = (1 – 2t) –10<br />

Therefore,<br />

M¢(t) = 20(1 – 2t) –11<br />

M≤(t) = 440(1 – 2t) –12<br />

M≤¢(t) = 10,560(1 – 2t) –13<br />

E[X 3 ] = M≤¢(0) = 10,560<br />

36. Answer: A<br />

1 11 1 1 1 ⎛1⎞<br />

p k = pk− 1<br />

= pk−2 = ⋅ ⋅ pk−3 = ... = ⎜ ⎟ p0<br />

k ≥0<br />

5 55 5 5 5 ⎝5⎠<br />

∞ ∞<br />

⎛1⎞<br />

p0<br />

5<br />

1 = ∑ pk<br />

= ∑⎜<br />

⎟ p = = p<br />

1<br />

k= 0 k=<br />

0⎝5⎠ 1−<br />

4<br />

5<br />

k<br />

0 0<br />

p 0 = 4/5 .<br />

Therefore, P[N > 1] = 1 – P[N £1] = 1 – (4/5 + 4/5 ◊ 1/5) = 1 – 24/25 = 1/25 = 0.04 .<br />

k<br />

<strong>Course</strong> 1 12 <strong>May</strong> <strong>2000</strong>

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