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Exercise
ABy Admin
May 09'23
Answer
Solution: D
Let X represent the loss. The variance for a uniform distribution is the square of the interval length, divided by 12. Thus,
[[math]]
\operatorname{Var}(X) = \frac{b^2}{12}.
[[/math]]
Let [math]C[/math] represent the claim payment from the loss. Then [math]C = 0[/math] for [math]X \lt b/2 [/math] and [math]C = X – b/2[/math], otherwise. Then,
[[math]]
\begin{align*}
\operatorname{E}(C) &= \int_9^{b/2}0(1/b) dx + \int_{b/2}^b (x-b/2) (1/b) dx \\
&= 0 + (x-b/2)^2 /(2b) |_{b/2}^{b} = (b/2)^2 / (2b) = b/8.
\end{align*}
[[/math]]
[[math]]
\begin{align*}
\operatorname{E}(C^2) &= \int_9^{b/2}0^2(1/b) dx + \int_{b/2}^b (x-b/2)^2 (1/b) dx \\
&= 0 + (x-b/2)^3 /(3b) |_{b/2}^{b} = (b/2)^3 / (3b) = b^2/24.
\end{align*}
[[/math]]
[[math]]
\operatorname{Var}(C) = b^2/24 - (b/8)^2 = 5b^2/192.
[[/math]]
The ratio is
[[math]][5b^2 /192] / [b/12] = 60/192 = 5 /16.[[/math]]