Answer:
The margin of error for their finding at the 90% level of confidence is [tex]\pm 0.05[/tex].
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of [tex]\pi[/tex], and a confidence interval [tex]1-\alpha[/tex], we have the following confidence interval of proportions.
[tex]\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]
In which
z is the zscore that has a pvalue of [tex]1 - \frac{\alpha}{2}[/tex].
For this problem, we have that:
A sample of 270 students, so [tex]n = 270[/tex].
50% of students were in favor of the proposal, so [tex]\pi = 0.50[/tex].
We are working with a 90% confidence interval:
So [tex]\alpha = 0.10[/tex], z is the value of Z that has a pvalue of [tex]1 - \frac{0.10}{2} = 0.95[/tex], so Z = 1.645.
The margin of error for their finding at the 90% level of confidence is
The margin of error is [tex]\pm z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex][/tex]
So
[tex]M = \pm z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]
[tex]M = \pm 1.645*\sqrt{\frac{0.50(0.50)}{270}} = \pm 0.05[/tex]
The margin of error for their finding at the 90% level of confidence is [tex]\pm 0.05[/tex].