The mean and median both describe a center, but they answer different arithmetic questions. The mean shares the total equally across every observation. The median marks the middle position after sorting. Reading both is usually more informative than treating either number as a universal summary.
The mean uses every magnitude
For 2, 3, 3, 4 and 38, the sum is 50 and the arithmetic mean is 10. Every value contributes directly to that total, so changing 38 to 138 adds 100 to the sum and 20 to the mean. This sensitivity is not an error: it is exactly what equal sharing of the total means. It matters when the total itself has meaning, but it can make a skewed list look more typical than it is.
The median uses ordered position
Sort the same five values as 2, 3, 3, 4, 38. The third value is 3, so the median is 3. Replacing 38 with 138 leaves the middle position unchanged. With an even count, median is the arithmetic mean of the two central values; SetStats calculates that midpoint exactly rather than choosing one side. Median therefore resists an extreme endpoint, but it also ignores how far that endpoint lies beyond the center.
Compare summaries with the sorted evidence
A gap between mean and median is a prompt to inspect the distribution, not a diagnosis by itself. Check the count, minimum, maximum, range and sorted values; confirm units and decide whether repeated observations are intentional. SetStats performs neutral descriptive arithmetic only. It does not decide which statistic is appropriate for a report, estimate sampling uncertainty, remove outliers or validate the source data. Those decisions remain part of the analysis around the calculation.