In this lesson on estimating population proportion, we learn how to find the confidence interval for a sample proportion. By using the central limit theorem, we can calculate the standard deviation and create a normal curve. We can then partition off 90% of the curve and estimate the boundaries of the confidence interval. From there, we can calculate the sampling error and determine how close our sample proportion is to the actual population proportion. By using this method, we can confidently state the proportion of people in a population with a certain characteristic falls within a specific range.
Part 2 of the explanation of estimating population proportion in statistics.
Produced by Kent Murdick
Instructor of Mathematics
University of South Alabama