Impact on Median

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The median is the middle of the ordered data.
When you add a value, the middle position can move, which shifts the median.
Where the new value lands decides the direction of the shift.
A value added on the low end pushes the middle toward the lower numbers, lowering the median.
A value added on the high end pushes it toward the higher numbers, raising the median.
A value right at the median can leave it unchanged.
Take 11, 22, 33, with median 22.
Add an 88: the ordered list is 11, 22, 33, 88, and the median is the average of 22 and 33, which is 2.52.5.
The median shifted right, but only a little, even though 88 is far out.
Unlike the mean, the median barely moves for a far-out value.
Whether the extra number is 88 or 800800, the middle of 11, 22, 33, and that value is still 2.52.5.
That is why the median describes the center well when there are outliers.

Worked examples

The scores 7373, 7878, 8282, 8585, 8888, 9191 have a median of 83.583.5. A new score of 6565 is added. What happens to the median?
The list becomes 6565, 7373, 7878, 8282, 8585, 8888, 9191, with 8282 in the middle.
The median shifts down from 83.583.5 to 8282.
The set 22, 44, 66 has a median of 44. What is the median after adding 2020?
The ordered set is 22, 44, 66, 2020, and the median is the average of 44 and 66, which is 55.
The median shifts up from 44 to 55.
The set 1010, 2020, 3030 has a median of 2020. You add another 2020. What happens to the median?
The ordered set is 1010, 2020, 2020, 3030, and the two middle values are both 2020.
So the median stays at 2020.

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