Barely Significant

Excerpts

514,629 sentences

highly significantp<0.010.2× alphaqualifiedgold
Inter-individual comparison between attention and stimulation-related audio-visual topographic correlations After conversion of correlations between auditory and visual-related current density distributions into Fisher's Z transforms, we performed paired t-tests that resulted in highly significant differences, both in the comparison between the transformed correlations in theta and beta1 bands (t = −2.99, p<0.01), and between the Fisher's Z scores averaged across theta and delta bands, and the scores averaged across beta1, beta2 and slow potentials (t = −5.885, p<0.0001).
marginal significancep < 0.010.2× alphagold
Interpretation thresholds followed standard normal distribution critical values: ±1.96 ( p > 0.05) = Nonsignificant deviation; ±1.96 to ± 2.58 (0.01 < p < 0.05) = Marginal significance and ±2.58 to ± 3.29 (0.001 < p < 0.01): Strong evidence against independence.
highly significantP < 0.010.2× alphaqualifiedgold
Results and Discussion A highly significant ( P < 0.01) elevation in serum glutamate pyruvate transaminase (SGPT) activity was observed in DEN and DEN + C. dactylon groups when compared with control mice, Whereas the DEN + Tamoxifen treated animals showed the low significant alteration with DEN and DEN + C. dactylon groups [ Figure 1 ].
highly significantP ≤.010.2× alphaqualifiedgold
marginally significantP ≤.12.0× alphagold
Differences were considered statistically significant at P ≤.05 (marginally significant at P ≤.1, highly significant at P ≤.01, and extremely significant at P <.001). 18 In addition, a post hoc power analysis was carried out to examine the power of the bond strength data using G*Power 3.1.7 software.
highly significantP < 0.010.2× alphaqualifiedgold
The experimental data were fitted to a quadratic polynomial model, yielding the following regression equation: Y = 72.72 + 5.65 A − 4.07 B − 5.9 C + 2.62 AB + 0.5250 AC + 0.325 BC − 6.55 A 2 − 11.1 B 2 − 5.45 C 2 As shown in the ANOVA results (Table S4), the model is highly significant ( P < 0.01), while the lack-of-fit term is non-significant ( P > 0.05), indicating that the model accurately predicts the experimental data.
highly significantP < 0.010.2× alphaqualifiedgold
The data of the heavy metals in the present work revealed that there is a highly significant (P < 0.01) difference between the two sites, the increase in values of site 1 may be attributed to a number of factors such as industrial effluents, agricultural drainage and waste municipal [ 31 ].
highly significantp ≤ 0.010.2× alphaqualifiedgold
However, significant ( p < 0.05) and highly significant ( p ≤ 0.01) differences were noted in the contents of some SFAs (C6:0, C8:0, C10:0, C12:0, C14:0, C16:0,andC17:0) and UFAs (C18:1n9c, C18:1n9t,C18:1n7t, C18:2n6c, CLA, C18:3n3, and C20:1),as well as in the total contents of SFAs and UFAs ( Table 2 ) between the genotypes of the SNP g.841G/C.