Assume that the number of new visitors to a website in one hour is distributed as a Poisson variable with λ = 4.0. What is the probability in any given hour that there are no new visitors to the website?

Respuesta :

Answer:

[tex]P(X=0)=\frac{e^{-\lambda} \lambda^0}{0!}=e^{-\lambda}= e^{-4}= 0.0183[/tex]

Step-by-step explanation:

Previous concepts

Let X the random variable that represent the number of new visitors to a website in one hour. We know that [tex]X \sim Poisson(\lambda=4)[/tex]

The probability mass function for the random variable is given by:

[tex]f(x)=\frac{e^{-\lambda} \lambda^x}{x!} , x=0,1,2,3,4,...[/tex]

And f(x)=0 for other case.

For this distribution the expected value is the same parameter [tex]\lambda[/tex]

[tex]E(X)=\mu =\lambda[/tex]

Solution to the problem

On this case we are interested on the probability of having no visitors to the website:.

Using the pmf we can find this probability like this:

[tex]P(X=0)=\frac{e^{-\lambda} \lambda^0}{0!}=e^{-\lambda}= e^{-4}= 0.0183[/tex]