Answer:
The margin of error for a 95% confidence interval is 0.199.
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 Ztable as such z has a pvalue 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.
Assume that the population standard deviation is 2.8.
This means that

760 millennials (18- to 33-year-olds)
This means that

Give the margin of error for a 95% confidence interval.

The margin of error for a 95% confidence interval is 0.199.