Answer:
[tex] ME= z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}[/tex]
The confidence interval is 95% and the significance level is [tex]\alpha=1-0.95=0.05[/tex] and [tex]\alpha/2 =0.025[/tex] and the critical value would be:
[tex]z_{\alpha/2}= 1.96[/tex]
And the margin of error would be:
[tex] ME = 1.96 \sqrt{\frac{0.225 (1-0.225)}{240}}= 0.0528[/tex]
Step-by-step explanation:
We have the following info given:
[tex] n =240[/tex] the sample size selected
[tex]X=54[/tex] the number of people who lease a car
[tex]\hat p =\frac{54}{240}= 0.225[/tex] the estimated proportion of people who lease a car
The margin of error is given by:
[tex] ME= z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}[/tex]
The confidence interval is 95% and the significance level is [tex]\alpha=1-0.95=0.05[/tex] and [tex]\alpha/2 =0.025[/tex] and the critical value would be:
[tex]z_{\alpha/2}= 1.96[/tex]
And the margin of error would be:
[tex] ME = 1.96 \sqrt{\frac{0.225 (1-0.225)}{240}}= 0.0528[/tex]