Exercise
ABy Admin
May 03'23
Answer
Solution: B
Let [math]X[/math] equal the number of hurricanes it takes for two losses to occur. Then [math]X[/math] is negative binomial with “success” probability [math]p = 0.4[/math] and [math]r = 2[/math] “successes” needed.
[[math]]
\operatorname{P}[X = n] = \frac{n-1}{r-1} p^{r}(1-p)^{n-r} = \binom{n-1}{2-1} (0.4)^2(1-0.4)^{n-2} = (n-1)(0.4)^2(0.6)^{n-2}, \, n \geq 2.
[[/math]]
We need to maximize [math]\operatorname{P}[X = n][/math]. Note that the ratio
[[math]]
\frac{\operatorname{P}[X=n+1]}{\operatorname{P}[X=n]} = \frac{n(0.4)^2(0.6)^{n-1}}{(n-1)(0.4)^2(0.6)^{n-2}} = \frac{n}{n-1} (0.6).
[[/math]]
This ratio of “consecutive” probabilities is greater than 1 when [math]n = 2[/math] and less than 1 when [math]n ≥ 3.[/math] Thus, [math]\operatorname{P}[X = n][/math] is maximized at [math]n = 3[/math]; the mode is 3. Alternatively, the first few probabilities could be calculated.