To determine which data set is best represented by the median as the measure of center, we need to consider the characteristics of each data set's distribution.
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Data set C: If the distribution is skewed (either right or left), the mean can be heavily influenced by outliers, making the median a better measure of center.
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Data set B: If the range is largest, that might indicate variability, but it does not necessarily inform us about the best measure of central tendency.
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Data set B (again): The flatness of the distribution could indicate a uniform distribution, meaning that there are no significant outliers, and the mean could be a good representation of the center, but not necessarily.
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Data set A: If the distribution is nearly symmetric, the mean and median would typically be similar, thus, the median is a reasonable measure of center, but not necessarily the best.
Given these points, the most appropriate answer is:
data set C because the distribution is skewed.
The median is often preferred over the mean as a measure of center when dealing with skewed distributions, as it is less affected by outliers or extreme values.