Answer:


And we can find this probability with this difference and using the normal standard distribution or excel and we got:

Explanation:
For this case we know the following parameters:

We select a sample size of n = 313 and we want to find the following probability:

And we can use the z score formula given by:

And using this formula we have:


And we can find this probability with this difference and using the normal standard distribution or excel and we got:
