Answer:
The margin of error for a 95% confidence interval is 0.199.
Step-by-step explanation:
We have that to find our [tex]\alpha[/tex] level, that is the subtraction of 1 by the confidence interval divided by 2. So:
[tex]\alpha = \frac{1 - 0.95}{2} = 0.025[/tex]
Now, we have to find z in the Ztable as such z has a pvalue of [tex]1 - \alpha[/tex].
That is z with a pvalue of [tex]1 - 0.025 = 0.975[/tex], so Z = 1.96.
Now, find the margin of error M as such
[tex]M = z\frac{\sigma}{\sqrt{n}}[/tex]
In which [tex]\sigma[/tex] 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 [tex]\sigma = 2.8[/tex]
760 millennials (18- to 33-year-olds)
This means that [tex]n = 760[/tex]
Give the margin of error for a 95% confidence interval.
[tex]M = z\frac{\sigma}{\sqrt{n}} = 1.96\frac{2.8}{\sqrt{760}} = 0.199[/tex]
The margin of error for a 95% confidence interval is 0.199.