fix: compute skewness as g1 - #225
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Split out of #214.
skewness used a sqrt(n-1) factor: neither population g1 nor the sample form. Now g1, matching scipy.stats.skew.
Before, on [1, 2, 2, 3, 3, 3, 4, 10]:
After:
scipy.stats.skew gives 1.7962008374788356. pandas .skew() gives 2.240256043894075, the adjusted Fisher Pearson convention.