Mark Dickinson <dicki...@gmail.com> added the comment:
> The rounding correction in _ss() looks mathematically incorrect to me [...] I don't think it was intended as a rounding correction - I think it's just computing the variance (prior to the division by n or n-1) of the `(x - c)` terms using the standard "expectation of x^2 - (expectation of x)^2" formula: sum((x - c)**2 for x in data) - (sum(x - c for x in data)**2) / n So I guess it *can* be thought of as a rounding correction, but what it's correcting for is an inaccurate value of "c"; it's not correcting for inaccuracies in the subtraction results. That is, if you were to add an artificial error into c at some point before computing "total" and "total2", that correction term should take you back to something approaching the true sum of squares of deviations. So mathematically, I think it's correct, but not useful, because mathematically "total2" will be zero. Numerically, it's probably not helpful. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue39218> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
