Earlier in the lesson, we talked about two types of estimation, point, and interval. Let's now apply them to estimate a population proportion from sample data.
- Point Estimate for the Population Proportion
-
The point estimate of the population proportion, \(p\), is:
\(\hat{p}=\) # of successes in the sample of size n
Confidence Interval for the Population Proportion Section
Recall that:
If \(np\) and \(n(1-p)\) are greater than five, then \(\hat{p}\) is approximately normal with mean, \(p\), standard error \(\sqrt{\frac{p(1-p)}{n}}\).
Under these conditions, the sampling distribution of the sample proportion, \(\hat{p}\), is approximately Normal. The multiplier used in the confidence interval will come from the Standard Normal distribution.