Fig. 3 |. Comparison of male and female measures.

a, The distribution of FI scores for males and females when the data are split into four age groups of equal range. Significant differences in the distributions of male and female scores for that age group are determined by the two-sided Mann–Whitney U-test and are indicated by an asterisk (*). For each successive age group, $P=0.524$ ($n=78\text{females}$, $n=81\text{males}$), $P=3.38\times {10}^{-12}$ ($n=85\text{females}$, $n=61\text{males}$), $P=2.27\times {10}^{-12}$ ($n=107\text{females}$, $n=107\text{males}$) and $P=0.269$ ($n=25\text{females}$, $n=122\text{males}$). The box shows the quartiles of the dataset, while the whiskers extend to show the rest of the distribution, except for points that are determined to be ‘outliers’ using a method that is a function of the IQR. b, Pearson correlations of FI items with age for males compared to females ($r=0.85$). c, Pearson correlations of video metrics with FI score for males compared to females ($r=0.88$). d, Pearson correlations of video metrics with age for males compared to females ($r=0.90$).