The human sex ratio at birth has been an object of study since early in the history of statistics, as it is easily recorded and a large number for sufficiently large populations.[74] An early researcher was John Arbuthnot (1710),[75][76][77][78] who in modern terms performed statistical hypothesis testing, computing the p-value (via a sign test), interpreted it as statistical significance, and rejected the null hypothesis. This is credited as "… the first use of significance tests …"[79] the first example of reasoning about statistical significance and moral certainty,[80] and "… perhaps the first published report of a nonparametric test …";[76] see details at Sign test § History. Human sex at birth was also analyzed and used as an example by Jacob Bernoulli Ars Conjectandi (1713), where an unequal sex ratio is a natural example of a Bernoulli trial with uneven odds.