Answer:
0.2081 = 20.81% probability that at least one particle arrives in a particular one second period.
Step-by-step explanation:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:
![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)
In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given interval.
Over a long period of time, an average of 14 particles per minute occurs. Assume the arrival of particles at the counter follows a Poisson distribution. Find the probability that at least one particle arrives in a particular one second period.
Each minute has 60 seconds, so ![\mu = \frac{14}{60} = 0.2333](https://tex.z-dn.net/?f=%5Cmu%20%3D%20%5Cfrac%7B14%7D%7B60%7D%20%3D%200.2333)
Either no particle arrives, or at least one does. The sum of the probabilities of these events is decimal 1. So
![P(X = 0) + P(X \geq 1) = 1](https://tex.z-dn.net/?f=P%28X%20%3D%200%29%20%2B%20P%28X%20%5Cgeq%201%29%20%3D%201)
We want
. So
In which
![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^{-0.2333}*(0.2333)^{0}}{(0)!} = 0.7919](https://tex.z-dn.net/?f=P%28X%20%3D%200%29%20%3D%20%5Cfrac%7Be%5E%7B-0.2333%7D%2A%280.2333%29%5E%7B0%7D%7D%7B%280%29%21%7D%20%3D%200.7919)
0.2081 = 20.81% probability that at least one particle arrives in a particular one second period.