The effect sizes on all outcome measures were extremely small (Table 3), suggesting very clean nil-results.
The changes in empathy over time were statistically significant among men, however the magnitude of the changes indicated by the regression coefficients were extremely small (Table 4).
Interestingly, under these conditions, when the MBL model with two components is used, the weight of one of them tends to be extremely small (Table 1), which is consistent with the higher fit of the one-component model.
Fisher's exact test showed that the number of incongruent cases of the non-core OGs was significantly larger than that of the core OGs, except in the case of N = 7 in Enterobacteriaceae, where the sample size of the non-core cases was extremely small (Table 3).
Results from the inter-specific PGLS analyses indicated that the phylogenetically-adjusted model which incorporated the insect phylogeny was the best model, while the probability that either the conventional or PGLS model using the plant phylogeny was correct was extremely small (Table 2).
Despite the fact that the mean differences between actual and preferred teaching time were statistically significant (t154 = 2.20, p = 0.03), the effect size (Cohen's d = 0.09) was extremely small (see Tables 1 and 2 for effect size metrics and interpretations).
The results showed the difference of evolutionary rates between all pairs were significant after Bonferroni correction, especially between pairs CYP3A and CYP3B (or CYP3D) with extremely small p values (Table 2).
Specifically, the Fisher's exact tests are used for functional roles of nearby genes, for which the feature variable is categorical and some expected values in the contingency tables are extremely small (< 5).
The complication rate was extremely low (Table 1).
However, the yields are usually extremely low (Table 2).
