In this lesson, we learn how to estimate a population proportion in statistics. Using the example of credit report errors found in a survey of 2,000 adults, the central limit theorem is applied to determine the mean and standard deviation of the sampling distribution of all possible proportions. With this information, a 90% confidence interval is constructed to estimate the proportion of all adults in the United States whose credit reports contain errors. The second part of the lesson will provide the conclusion to this problem.
Part 1 of an explanation of how to estimate a population proportion in statistics.
Produced by Kent Murdick
Instructor of Mathematics
University of South Alabama