Answer:
The confidence interval is
, in which n is the size of the sample.
Explanation:
We have that to find our
level, that is the subtraction of 1 by the confidence interval divided by 2. So:

Now, we have to find z in the Z-table as such z has a p-value of
.
That is z with a pvalue of
, so Z = 1.96.
Now, find the margin of error M as such

In which
is the standard deviation of the population and n is the size of the sample.

The lower end of the interval is the sample mean subtracted by M. So it is

The upper end of the interval is the sample mean added to M. So it is

The confidence interval is
, in which n is the size of the sample.