“highly significant”

In particular, in 10-fold cross-validation experiments on held-out genes, we obtained a mean Spearman rank correlation between predicted and measured gene expression changes of 0.174, a modest but highly significant result ( P <2e−16), shown in Figure 2A .

The variation in ancestry seen in the admixture maps of Figure 1 also result in highly significant correlations of the three ancestries with altitude of birthplace (p-values <2×10 −16 for the three ancestries): African and European ancestry decreases with altitude (r of −0.24 and −0.39, respectively), while Native American ancestry increases (r = 0.48).

We repeated the moving average analysis (see Materials and Methods) comparing the distribution of mutations in the HS cluster and WT V regions and again found a highly significant positive correlation ( r = 0.52, P < 2 × 10 −16 ).

We found that both RM and n sites had a highly significant effect (respectively, F 9,449 = 71, P < 2 × 10 −16 and F 1,449 = 103, P < 2 × 10 −16 ), and the interaction between RM and n sites was also significant ( F 9,449 = 8.99, P < 2 × 10 −16 ).

All p -values for the correlation coefficient are highly significant ( p -value < 2.0 × 10 −16 ).

For males both age and puberty score were highly significant in predicting height at age 11 (r 2 = .17, p<2e −16 ) and 14 (r 2 = .23, p<2e −16 ).

The intercept had an estimated coefficient of 0.8443, which is highly significant (p < 2e-16), indicating a strong positive relationship between the dependent variable and the constant term.

Statistical analysis using one-way ANOVA confirmed a highly significant effect of treatment on fungal growth (F(20, 42) = 56.52, p < 2 × 10 −16 ).

The effective degrees of freedom (edf) for the smoothing term were 8.918, and the corresponding F-statistic and p -value indicated that the smoothing term was highly significant ( p -value < 2e-16).

The two factors were therefore stimulus contrast (0–64%), which produced a highly significant effect, F (6, 1287) = 171.83, p < 2 × 10 −16 , equivalent d = 1.78, and mask contrast (0 and 32%) which produced a smaller effect, F (1, 1287) = 12.89, p < .0004, equivalent d = 0.19.

Data analysis showed a highly significant reduction of the average CpG methylation levels from 13.8% in control animals to 8.3% in KD samples over sixteen million mapped CpGs ( p < 2e-16, Wilcoxon rank sum test; Fig. 4a ).

We found the effect of rurality to be highly significant ( P < 2.0 × 10 -16 ), but it explains only 28% of the overall variation in log positional error magnitude.

Interestingly, in all tumors FOXP3 expression is highly significant, positively associated to GZMB expression levels ( p -value = 2.0E-16) Adaptive immune response strongly depends on the B cell response.

There was a highly significant difference between the sensitivity groups ( p < 2e−16) but not between P. cactorum isolates ( p = 0.2046; Table S6 ).

Vials of APSA stored on ice in the fridge for up to 22 months and then sampled at a dilution factor of 1/250,000 (DF 250,000) prior to assay showed extreme sample to sample variation in enzyme activity and a trend to lower OD values over time with a highly significant effect of the storage time on the detection limit (ANOVA p ≤ 2E-16, Regression p < 0.043) ( Fig. 2 A).

The genotype×broomrape race interaction was highly significant for TotAD ( F =3.17, P =2e-16), HeaAD ( F =2.96, P =2e-16), and NecAD ( F =3.63, P <2e-16) ( Supplementary Table S3 ).

The Cox regression p value for all these terms was found to be highly significant ( p < 2e−16).

We obtained a highly significant interaction effect between hosts and isolates nested within each population for virulence (degrees of freedom = 1,540, F = 2.11, p < 2e −16 ) and reproduction (degrees of freedom = 1,540, F = 2.68, p < 2e −16 ).

Thus, it is not surprising that the separation of nationalities due to the co‐dispersion along these two axes is highly significant (MANOVA: P < 2e–16).

Effects of genotypes on pre-harvest aflatoxin contamination of maize Aflatoxin contamination was highly significant among maize genotypes (p < 2e-16) ( Table 15 ), with A2207–4 having the lowest level (1.33 μg/kg) and YANGA-5–2 the highest (7.65 μg/kg), as shown in Table 16 .

The analysis of variance (ANOVA) results (Supplementary Data 1 –Table B 3 ) showed a highly significant effect of landmarks on measurement variance ( p -value < 2 × 10 −16 ); however, no significant effect of the operator ( p -value = 1.00) or the interaction between landmark and operator was observed ( p -value = 0.968).

All other pairwise comparisons were highly significant ( p < 2e-16 ).

The smooth terms for longitude and latitude were highly significant, indicating that both geographical coordinates are important predictors of macroplastic concentration ( p < 2e-16, n = 206 for ScriptR results from GAM test, Supplementary Figure S5.2).

Thus, although the number of substitutions in a partition is a highly significant ( P < 2e-16) predictor of passing or failing any of the tests, that it explains only about a quarter of the variation suggests that other factors, such as underlying differences in the extent to which partitions violate the SRH assumptions, are driving the remaining ∼75% of the variation.

Statistical analysis via disk diffusion assays revealed highly significant differences in inhibition zone diameters among microorganisms ( p < 2 × 10 −16 ).