Answer:
For the first question the sample size is n= 3850
[tex] ME= z_{\alpha/2}\sqrt{\frac{\hat p(1-\hat p)}{n}}[/tex]
[tex] \hat p \pm ME[/tex]
And replacing we got:
[tex] 0.5- 0.016 = 0.484[/tex]
[tex] 0.5+ 0.016 = 0.516[/tex]
We are confident at 95% that the true proportion of all people who like the movie is between 0.484 and 0.516.
Step-by-step explanation:
We have the following info given:
[tex]\hat p = 0.5[/tex] represent the estimated proportion of all people who like the movie
[tex]n = 3850[/tex] represent the sample size selected
For the first question the sample size is n= 3850
For the second part they gives to us the margin of error:
[tex] ME = 0.016 [/tex]
We know that the confidence interval for a population proportion [tex]p[/tex] of interest is given by:
[tex]\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p(1-\hat p)}{n}}[/tex]
And the margin of error is given by:
[tex] ME= z_{\alpha/2}\sqrt{\frac{\hat p(1-\hat p)}{n}}[/tex]
So then the confidence interval can be found with this formula:
[tex] \hat p \pm ME[/tex]
And replacing we got:
[tex] 0.5- 0.016 = 0.484[/tex]
[tex] 0.5+ 0.016 = 0.516[/tex]
We are confident at 95% that the true proportion of all people who like the movie is between 0.484 and 0.516.