Estimation of a Population Proportion, Part 2 of 2
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
- Where can I find an explanation of a statistics problem?
- How do you estimate a population proportion in statistics?
- How confident can you be in your sample?
- How can you determine the confidence interval in a statistics problem?
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Staff Review
This video finishes explaining and discussing the example problem for finding a population proportion for a college statistics class. This lesson has some very insightful explanations of statistics concepts, and should be watched if you have trouble with statistics.
