Respuesta :
Using the z-distribution, considering a standard 95% confidence level, it is found that 657 people should be surveyed.
What is a confidence interval of proportions?
A confidence interval of proportions is given by:
[tex]\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]
The margin of error is given by:
[tex]M = z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]
In which:
- [tex]\pi[/tex] is the sample proportion.
- z is the critical value.
- n is the sample size.
In this problem, we have a 95% confidence level, hence[tex]\alpha = 0.95[/tex], z is the value of Z that has a p-value of [tex]\frac{1+0.95}{2} = 0.975[/tex], so the critical value is z = 1.96.
The estimate is of [tex]\pi = 0.19[/tex], and we have to solve for n when M = 0.03 to find the desired sample size.
[tex]M = z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]
[tex]0.03 = 1.96\sqrt{\frac{0.19(0.81)}{n}}[/tex]
[tex]0.03\sqrt{n} = 1.96\sqrt{0.19(0.81)}[/tex]
[tex]\sqrt{n} = \frac{1.96\sqrt{0.19(0.81)}}{0.03}[/tex]
[tex](\sqrt{n}) = \left(\frac{1.96\sqrt{0.19(0.81)}}{0.03}\right)^2[/tex]
n = 656.9.
Rounding up, 657 people should be surveyed.
More can be learned about the z-distribution at https://brainly.com/question/25890103
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