On average, the number of customers who had items to return for refunds or exchanges at a certain retail store's service desk is 756 per week. Find the probability that the service desk will have at least 100 customers with returns or exchanges on a randomly selected day. (Assume the store is open 7 days/week.)

Respuesta :

Answer:

The probability that the service desk will have at least 100 customers with returns or exchanges on a randomly selected day is P=0.78.

Step-by-step explanation:

With the weekly average we can estimate the daily average for customers, assuming 7 days a week:

[tex]M=756/7=108[/tex]

We can model this situation with a Poisson distribution, with parameter λ=108. But because the number of events is large, we use the normal aproximation:

[tex]P(\lambda)\approx N(\lambda,\lambda)[/tex]

Then we can calculate the z value for x=100:

[tex]z=\frac{x-\mu}{\sigma}=\frac{100-108}{\sqrt{108}}=\frac{-8}{10.4} =-0.77[/tex]

Now we calculate the probability of x>100 as:

[tex]P(x>100)=P(z>-0.77)=0.78[/tex]

The probability that the service desk will have at least 100 customers with returns or exchanges on a randomly selected day is P=0.78.