Answer:
[tex]0.41 - 1.96\sqrt{\frac{0.41(1-0.41)}{1000}}=0.380[/tex]
[tex]0.41 + 1.96\sqrt{\frac{0.41(1-0.41)}{1000}}=0.440[/tex]
The 95% confidence interval would be given by (0.380;0.440)
[tex]0.41 - 2.58\sqrt{\frac{0.41(1-0.41)}{1000}}=0.370[/tex]
[tex]0.41 + 2.58\sqrt{\frac{0.41(1-0.41)}{1000}}=0.450[/tex]
The 99% confidence interval would be given by (0.370;0.450)
Step-by-step explanation:
In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by [tex]\alpha=1-0.95=0.05[/tex] and [tex]\alpha/2 =0.025[/tex]. And the critical value would be given by:
[tex]z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96[/tex]
The confidence interval for the mean is given by the following formula:
[tex]\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}[/tex]
If we replace the values obtained we got:
[tex]0.41 - 1.96\sqrt{\frac{0.41(1-0.41)}{1000}}=0.380[/tex]
[tex]0.41 + 1.96\sqrt{\frac{0.41(1-0.41)}{1000}}=0.440[/tex]
The 95% confidence interval would be given by (0.380;0.440)
And for the 99% confident interval the critical value would be 2.58 and if we replace we got:
[tex]0.41 - 2.58\sqrt{\frac{0.41(1-0.41)}{1000}}=0.370[/tex]
[tex]0.41 + 2.58\sqrt{\frac{0.41(1-0.41)}{1000}}=0.450[/tex]
The 99% confidence interval would be given by (0.370;0.450)