It's a uniform distribution or close to it. I don't know what Dervy's on. The standard deviation in that image should make it pretty clear--sqrt(1/12*(263-238)^2) = 7.22.
For what it's worth, I could never explain to my satisfaction why the standard deviations I have from actual data seem to indicate a greater spread than the minimum and maximum values observed. I'm not a statistician by trade.
And yeah I actually have no idea where the rounding is or how it works. Nobody seems to. Some data wants to be restricted to 4.97% spread. Some wants to be 5.1%.
EDIT: from a small experiment that took about 2 minutes, the standard deviation from actual data being larger than expected can probably be explained by the data being discrete instead of continuous. Don't know why I didn't test that idea sooner.
