Answer: The interval is 0.9 ± 0.0259 and margin of error is 0.0259
Step-by-step explanation: Confidence interval for a proportion in one sample is the estimate of the proportion of a population. It is calculated following the next steps:
1) Find the proportion [tex]p=\frac{x}{n}[/tex], in which x is the number of people with the desired condition. In our case, p=0.9;
2) Calculate margin of error, i.e.:
[tex]z\sqrt{\frac{p(1-p)}{n}}[/tex]
z is z-score, which for a 95% confidence, equals 1.96;
Substituting with the data given:
[tex]1.96(\sqrt{\frac{0.9(1-0.9)}{514}})[/tex] = 0.0259
3) Write: p ± [tex]z\sqrt{\frac{p(1-p)}{n}}[/tex]
In our case, the interval will be 0.9 ± 0.0259.
Margin of error is the random sampling error in the results of a survey, i.e.,it shows you how far your result will be from the real value. For the Harris poll, margin of error is 0.0259