https://www.autodesk.com/research/publications/same-stats-di...
Definitely worth a quick look.
This is great! So fun...will have to use in the future...
> For the median and average to be equal, the points less than the median and greater than the median must have the same distribution (i.e., there must be the same number of points that are somewhat larger and somewhat smaller and much larger and much smaller).
[0, 2, 5, 9, 9] has both median and mean = 5, but the two sides don't really have the same distribution.
Doesn't have to be any more complicated than that. It's more a curio than an important point anyway :)
That's really nifty, wish I'd heard about it earlier. Might go back and add a link to it in the post at some point too! Very useful. Definitely know I wasn't breaking new ground or anything, but fun to see it represented so succinctly.
Very discouraging if one is trying to analyze data algorithmically. Often when faced with a problem in statistics, the answer is: "Look at the graph and use intuition!".
From Wikipedia description: Anscombe's quartet comprises four data sets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed. Each dataset consists of eleven (x,y) points. They were constructed in 1973 by the statistician Francis Anscombe to demonstrate both the importance of graphing data before analyzing it, and the effect of outliers and other influential observations on statistical properties.