Revision as of 22:04, 2 May 2023 by Admin (Created page with "Losses due to burglary are exponentially distributed with mean 100. The probability that a loss is between 40 and 50 equals the probability that a loss is between 60 and <math...")
ABy Admin
May 02'23
Exercise
Losses due to burglary are exponentially distributed with mean 100. The probability that a loss is between 40 and 50 equals the probability that a loss is between 60 and [math]r[/math], with [math]r \gt 60[/math]. Calculate [math]r[/math].
- 68.26
- 70.00
- 70.51
- 72.36
- 75.00
ABy Admin
May 02'23
Solution: D
The cumulative distribution function for the exponential distribution is
[[math]]
F(x) = 1-e^{-\lambda x} = 1-e^{-x/\mu} = 1-e^{-x/100}, x \gt 0.
[[/math]]
From the given probability data,
[[math]]
\begin{align*}
F(50) - F(40) &= F(r) - F(60) \\
1-e^{-50/100} - (1-e^{-40/100}) &= 1-e^{-r/100} - (1-e^{-60/100}) \\
e^{-40/100} - e^{-50/100} &= e^{-60/100} - e^{-r/100} \\
e^{-r/100} &= e^{-60/100} - e^{-40/100} + e^{-50/100} = 0.4850 \\
-r/100 &= \ln(0.4850) = -0.7236 \\
r &= 72.36.
\end{align*}
[[/math]]