The distribution of the numbers is distinctly not-uniform. Might be normal. Mean is about 0.157, standard deviation about 1.615. (I doubt these are really pi/20 and the golden ratio, but those would be consistent with the data :-).)
Again, clearly not independent given how the FFT looks.
Pretty sure it’s not normal. The middle isn’t bulgy enough. It’s hard to be very confident with relatively few numbers, but I eyeballed the histogram against several batches of normals with the same mean and variance, and it’s well outside what looks to me like the space of plausible histograms. I haven’t bothered attempting any actual proper statistical tests.
(Also, of course, if the numbers are generated by the sort of iterative process I imagine, it seems like it would be quite difficult to arrange for them to be much like normally distributed.)
The distribution of the numbers is distinctly not-uniform. Might be normal. Mean is about 0.157, standard deviation about 1.615. (I doubt these are really pi/20 and the golden ratio, but those would be consistent with the data :-).)
Again, clearly not independent given how the FFT looks.
Pretty sure it’s not normal. The middle isn’t bulgy enough. It’s hard to be very confident with relatively few numbers, but I eyeballed the histogram against several batches of normals with the same mean and variance, and it’s well outside what looks to me like the space of plausible histograms. I haven’t bothered attempting any actual proper statistical tests.
(Also, of course, if the numbers are generated by the sort of iterative process I imagine, it seems like it would be quite difficult to arrange for them to be much like normally distributed.)