“highly significant”

Although four of the six significant correlations were highly significant ( p < 0.001), their effect size was relatively small (i.e., smaller than 0.3, Cohen, 1992 ).

The correlation between 226 Ra and 232 Th was not significant ( r = 0.47, p > 0.05), whereas a highly significant correlation was observed between 226 Ra and 40 K ( r = 0.77, p < 0.001) and between 232 Th and 40 K ( r = 0.75, p < 0.001).

Leaf Mineral Content There were highly significant differences ( p ≤ 0.001) among the genotypes from different ecological regions for most of the mineral contents including Mg, P, Al, Cu, Fe, Mn, and Zn ( Table 1 ).

Two-way ANOVA analysis revealed that the changes in the tyrosinase activity were found to be highly significant at all three time periods studied (ANOVA; F = 9.07 p < 0.001 for 0 h, F = 10.86; p < 0.0005 for 24 h, and F = 19.59; p < 0.00001 for 36 h) ( Table 8 ).

The results of two-way ANOVA revealed highly significant ( p < 0.001) differences between the groups with normospermia and pathozoospermia, as well as between the three ethnic groups in terms of semen quality, including the total sperm count, concentration, motility, and morphology ( Figure 2 ).

As Table 3 , Table 4 show, specific traditional masculine norms that were highly significant ( p < 0.001) for predicting different generations' health service use included Emotional control , Work/school , Self-reliance , Status , and Violence .

In the regression model, attenuation of the adjacent lung parenchyma was highly significant (odds ratio 0.987, p < 0.001), with a large effect size.

The linear regression model was highly significant; F(3,399) = 638,22, p < 0.001, n = 400 and 82.9% of variance is explained by the FTE distalisation, anteriorisation and knee flexion, which corresponds to a strong effect (f 2 = 4.85).

There was a highly significant association between the VLO of the CT and SMA (Chi2 = 201, p < 0.001), usually respecting a “plus two” rule.

The model estimated was overall highly significant, F (10, 179) = 11.54, p < .001, with R 2 = .39.

In LUAD, there was also a highly significant difference between stage I clinical pancreatic cancer samples and stages II and III clinical pancreatic cancer samples ( P < 0.001), and stages I and IV clinical pancreatic cancer samples had a significant difference ( P < 0.05) ( Figure 5F and Supplementary Figure 4 ).

Differences were considered significant when p ≤ 0.05 (∗), very significant when p ≤ 0.01 (∗∗), highly significant when p ≤ 0.001 (∗∗∗), and extremely significant when p ≤ 0.001 (∗∗∗∗).

In presurgical samples, a highly significant negative correlation was observed between the relative abundance of Firmicutes and that of Bacteroidetes ( r = −0.815, p < 0.001).

PERMANOVA showed a highly significant difference between the two types of plots in the plant species composition (pseudo- F = 9.9, P < 0.001).

scoparia Fatty acid composition of the main sea grass and macroalgae which populated the two sites appeared markedly different from each other (Table 1 ), with highly significant (P < 0.001) differences of several fatty acids (Fig. 3 ).

Results Although the three way interactions were highly significant ( p < 0.001), the main results reflect on the one-way ANOVA’s.

All PhiPTs were highly significant ( p < 0.001).

Cis/Fen/Az-treated mice showed a highly significant difference in survival when compared to all other groups, on average they survived 27.44 days ( p < 0.001), whereas Cis/Fen- and Cis/Az-treated mice registered an average survival of 16.3 and 17.25 days respectively, thus only slightly longer and with no statistical significance when compared to treatment with cisplatin alone (14.7 days) ( Figure 1 C,D).

Their average number of relevant searches was only 2.52 (SE 0.003), and the difference in the average number of relevant searches between the two groups was highly significant (rank sum P <.001).

A Kolmogorov–Smirnov test showed a highly significant difference ( p ‐value ≤ .001, D ‐value 0.28) between the biomod2 oak probability rasters “filtered by area” and “filtered by area and elevation.” Figure 4 shows that forcing pixels into the elevation distribution of the NFI survey sample squares caused a low probability tail in the distribution compared with the area‐only filter.

However, there was a highly significant statistical difference on comparing ETT size estimated by height-based formula with age-based formula ( P < 0.001) as well as on comparing ETT size estimated by height-based formula and USG ( P < 0.001) [ Table 3 ].

Highly significant (the level of significance P < 0.001) linear predictors of the AWS were flow, velocity, season (March), depth, cross-sectional area, and of interactive terms were velocity and depth, and velocity and season (March).

There were also highly significant main effects of condition [ F (1, 29) = 208.822, p < 0.001, η p 2 = 0.878] and block [ F (7, 203) = 15.985, p < 0.001, η p 2 = 0.355].

Then, three genes with highly significant p -values ( p < 0.001) were selected and used to observed gene expressions in our samples.

In addition, the result of Bartlett's test of sphericity 75 was highly significant (χ 2 (55) = 886.15, p < 0.001), confirming the presence of significant correlations among several indices.