Answer:

And using the z score given by:

Where:


If we find the z score for
we got:

So we want to find this probability:

And using the complement rule and the normal standard distribution and excel we got:

Step-by-step explanation:
For this case we have the proportion of interest given
. And we have a sample size selected n = 474
The distribution of
is given by:

We want to find this probability:

And using the z score given by:

Where:


If we find the z score for
we got:

So we want to find this probability:

And using the complement rule and the normal standard distribution and excel we got:

Answer:
5/14
Step-by-step explanation:
5/14 is the simplified form.
Answer:
A 6.4
Step-by-step explanation:
(4/5)/(1/8) this is the answer
The equation would be:
3.50 + 0.15x
x represents each 'late day'