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:
[tex]P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}[/tex]
In which
x is the number of sucesses
e = 2.71828 is the Euler number
[tex]\mu[/tex] is the mean in the given interval.
Parameter of 5.2 per square yard:
This means that [tex]\mu = 5.2r[/tex], 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:
[tex]P(X \geq 1) = 1 - P(X = 0) = 0.99[/tex]
Thus:
[tex]P(X = 0) = 1 - 0.99 = 0.01[/tex]
We have that:
[tex]P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}[/tex]
[tex]P(X = 0) = \frac{e^{-5.2r}*(5.2r)^{0}}{(0)!} = e^{-5.2r}[/tex]
Then
[tex]e^{-5.2r} = 0.01[/tex]
[tex]\ln{e^{-5.2r}} = \ln{0.01}[/tex]
[tex]-5.2r = \ln{0.01}[/tex]
[tex]r = -\frac{\ln{0.01}}{5.2}[/tex]
[tex]r = 0.89[/tex]
Thus, the radius should be of at least 0.89.
Another example of a Poisson distribution is found at https://brainly.com/question/24098004