Answer:

And we can use the normal standard distribution table and the cmplement rule and we got:

Explanation:
For this case we know the following info given:
represent the population proportion
represent the sample size selected
We want to find the following proportion:

For this case we can use the normal approximation since we have the following conditions:
i) np = 827*0.08 = 66.16>10
ii) n(1-p) = 827*(1-0.08) =760.84>10
The distribution for the sample proportion would be given by:

The mean is given by:

And the deviation:

We can use the z score formula given by:

And replacing we got:

And we can use the normal standard distribution table and the cmplement rule and we got:
