Answer:
Step-by-step explanation:
FOR THE MEN
Given that
n for the men = 473
p for the men = [tex]\frac{52}{100}[/tex] = 0.52
Recall that,
Standard error = [tex]\sqrt \frac{p(1 - p)}{n}[/tex]
therefore,
SE for men = [tex]\sqrt{} \frac{0.52( 1 - 0.52)}{473}[/tex]
= 0.023
For 95% CI, z = 1.96
recall that,
CI = p ± z × SE(p)
therefore, CI for men
= 0.52 ± 1.96 ×0.023
= 0.52 ± 0.045
= 0.475 or 0.565
Therefore a 95% CI in that given men population shows that the candidate expects between 47.5% and 56.5% to vote for him.
FOR THE WOMEN
Given that
n for the women = 522
p for the women = [tex]\frac{45}{100}[/tex] = 0.45
referencing the earlier formula,
SE for women = [tex]\sqrt{} \frac{0.45 (1 - 0.45)}{522}[/tex]
= 0.02177
= 0.022
For 95% CI, z = 1.96
recall that,
CI = p ± z × SE(p)
therefore, CI for women
= 0.45 ± 1.96 × 0.022
= 0.45 ± 0.043
= 0.407 or 0.493
Therefore a 95% CI in that given women population shows that the candidate expects between 40.7% and 49.3% to vote for him
it is important to point out that the two intervals overlaps.