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Note Boris Hulking Ph.D. dissertation, Estimating a population median with a small sample, was not found in the WSU dissertation archives, and was not available from the author in digital form. The
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01
Collect a sample of the population data.
02
Sort the sample data in ascending order.
03
If the sample size is odd, the median is the middle value in the sorted data.
04
If the sample size is even, the median is the average of the two middle values.

Who needs estimating a population median?

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Researchers conducting surveys and studies.
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Statisticians analyzing data sets.
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Economists studying population trends.
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Estimating a population median involves calculating the middle value of a dataset from a population in order to understand its central tendency. This statistical measure can provide insight into the distribution of data points.
Individuals or organizations that gather data which influences population statistics may be required to file information estimating a population median, especially if mandated by regulatory agencies or for research purposes.
To fill out estimating a population median, one must collect relevant data, organize it in ascending order, identify the middle point, and calculate the median based on the number of observations being even or odd.
The purpose of estimating a population median is to provide a measure of central tendency that is less affected by outliers and skewed data distributions, giving a more accurate reflection of where the center of a population lies.
Information that must be reported includes the dataset used, the calculated median value, the methodology of calculation, and any relevant demographic or contextual information pertaining to the population being studied.
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