- Check the conditions for creating a confidence interval for population proportion.
- Describe the connection between the confidence level and the confidence interval.
- Calculate a confidence interval for a population proportion.
Confidence Interval for a Population Proportion
To obtain the confidence interval for a proportion, you need:
- Point estimate of a proportion, [latex]\hat{p}[/latex]
- Margin of error, [latex]ME = z^{*} \cdot (\text{standard error})[/latex]
- standard error = [latex]\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}[/latex]
- [latex]z^{*}[/latex] is the point on the standard normal distribution such that the proportion of area under the curve between [latex]−z^{*}[/latex] and [latex]+z^{*}[/latex] is [latex]C[/latex], the confidence level.
confidence interval for a population proportion
In general, the end points of a confidence interval are:
point estimate ± margin of error
The confidence interval for a population proportion is:
[latex]\hat{p} \pm z^{*} \cdot\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}[/latex]