Answer:
[0.4235, 0.5365]
Step-by-step explanation:
Data given and notation
n=300 represent the random sample taken
X=300-98-58=144 represent the people that support the candidate A in the sample
[tex]\hat p=\frac{144}{300}=0.48[/tex] estimated proportion of people that support the candidate A in the sample
[tex]\alpha=0.05[/tex] represent the significance level
Confidence =0.95 or 95%
p= population proportion of people that support the candidate A.
Confidence interval
The confidence interval would be given by this formula
[tex]\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}[/tex]
For the 95% confidence interval the value of [tex]\alpha=1-0.95=0.05[/tex] and [tex]\alpha/2=0.025[/tex], with that value we can find the quantile required for the interval in the normal standard distribution.
[tex]z_{\alpha/2}=1.96[/tex]
And replacing into the confidence interval formula we got:
[tex]0.48 - 1.96 \sqrt{\frac{0.48(1-0.48)}{300}}=0.4235[/tex]
[tex]0.48 + 1.96 \sqrt{\frac{0.48(1-0.48)}{300}}=0.5365[/tex]
And the 95% confidence interval would be given (0.4235;0.5365).
[tex]0.4235 \leq p \leq 0.5365[/tex]