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
Questions answered by this video:
How do you estimate a population proportion in statistics?
What are population parameters?
What is p hat and q hat?
How can you tell if the Central Limit Theorem applies in a statistics problem?
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This is another great, helpful video that explains a problem in statistics and solves it step by step with very clear explanations. A must-see for students struggling in statistics.