In this question, the Poisson distribution is used.
Poisson distribution:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:
In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given interval.
Parameter of 5.2 per square yard:
This means that
, in which r is the radius.
How large should the radius R of a circular sampling region be taken so that the probability of finding at least one in the region equals 0.99?
We want:
![P(X \geq 1) = 1 - P(X = 0) = 0.99](https://tex.z-dn.net/?f=P%28X%20%5Cgeq%201%29%20%3D%201%20-%20P%28X%20%3D%200%29%20%3D%200.99)
Thus:
![P(X = 0) = 1 - 0.99 = 0.01](https://tex.z-dn.net/?f=P%28X%20%3D%200%29%20%3D%201%20-%200.99%20%3D%200.01)
We have that:
![P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}](https://tex.z-dn.net/?f=P%28X%20%3D%20x%29%20%3D%20%5Cfrac%7Be%5E%7B-%5Cmu%7D%2A%5Cmu%5E%7Bx%7D%7D%7B%28x%29%21%7D)
![P(X = 0) = \frac{e^{-5.2r}*(5.2r)^{0}}{(0)!} = e^{-5.2r}](https://tex.z-dn.net/?f=P%28X%20%3D%200%29%20%3D%20%5Cfrac%7Be%5E%7B-5.2r%7D%2A%285.2r%29%5E%7B0%7D%7D%7B%280%29%21%7D%20%3D%20e%5E%7B-5.2r%7D)
Then
![e^{-5.2r} = 0.01](https://tex.z-dn.net/?f=e%5E%7B-5.2r%7D%20%3D%200.01)
![\ln{e^{-5.2r}} = \ln{0.01}](https://tex.z-dn.net/?f=%5Cln%7Be%5E%7B-5.2r%7D%7D%20%3D%20%5Cln%7B0.01%7D)
![-5.2r = \ln{0.01}](https://tex.z-dn.net/?f=-5.2r%20%3D%20%5Cln%7B0.01%7D)
![r = -\frac{\ln{0.01}}{5.2}](https://tex.z-dn.net/?f=r%20%3D%20-%5Cfrac%7B%5Cln%7B0.01%7D%7D%7B5.2%7D)
![r = 0.89](https://tex.z-dn.net/?f=r%20%3D%200.89)
Thus, the radius should be of at least 0.89.
Another example of a Poisson distribution is found at brainly.com/question/24098004