“extremely significant”

p < 0.05 means significant difference, and p < 0.01 or p < 0.001 indicates extremely significant difference.

We obtain that data are best explained when all receivers are coarse (the log-likelihood ratio is higher than 60 and extremely significant).

p -values <0.05 and < 0.01 were considered significant differences and extremely significant differences, respectively.

For all statistical comparisons, a P-value of 0.05 is considered significant, while a P-value of 0.01 is considered extremely significant.

A log rank (Mantel-Cox) test revealed extremely significant differences between the incidences of the various groups.

P < 0.05 was considered to be significant, and P < 0.01 was considered to be extremely significant.

The p value of positive and negative emotions of trait anxiety is less than 0.01, which means that there are extremely significant differences in strengthening body motivation among different trait anxiety emotions. 3.4.3.

A value of p < 0.05, or p < 0.01, or p < 0.001 was regarded as a significant difference or extremely significant difference, respectively. 5.

A value of p < 0.05 (significant) or p < 0.01 (extremely significant) was considered to be statistically significant. 5.

This would be extremely significant, as currently, very few clinical interventions can reliably reduce the incidence of PTSD after trauma exposure.

Heavy metal source analysis Correlation analysis The elemental correlations were significant or extremely significant, indicating homology or compound pollution among the elements [ 29 , 30 ].

A value of p < 0.05 was considered statistically significant, while a p < 0.01 was considered extremely significant.

Comparisons between groups in the dissimilarity analyses revealed that the difference in the microbiome between the healthy mucosa (Control) group and the OM (positive control, P Control) group was extremely significant (Fig. 1 c, S1e-f).

Significance analysis was performed by one‐way ANOVA, with p < 0.05 indicating a significant difference and p < 0.01 indicating an extremely significant difference.

Had the full cohort of 8290 subjects been employed, virtually every method of analysis would produce extremely significant differences.

Interestingly, under STFFOF, the visual stem lodging rate in paddy fields was positively related to the breaking resistance ( P = 0.695*, Table 1 ) and stem diameter ( P = 0.654*, Table 1 ) of basal internodes, showing a significant or extremely significant negative correlation with pushing resistance per plant ( P = −0.716*, Table 1 )/culm ( P = −0.854**, Table 1 ) but presented no significant correlation with lodging index ( P = −0.076 ns, Table 1 ).

Through the Kruskal–Wallis test, the Cr concentration in coals among the coal-forming periods had extremely significant difference ( χ 2 = 58.74, ρ = 0.00).

The t -test results of the measured LMC values and the values predicted by the FF (FX) scale model for the eight plots were almost all less than 0.01, and extremely significant differences existed between the measured and predicted values.

First, the genetic distance analysis showed that the ratio of the average nucleotide distance to the average amino acid distance of the four populations was generally less than 1, and the difference between each gene region was extremely significant ( Table 4 ).

* P < 0.05, ** P < 0.01 and *** P < 0.001 were considered significant, extremely significant and most significant, respectively. 3.

Subsequently, we set the genome-wide significance threshold based on a significance level of 1/nSNPs (1/2337054 = 4.28E-07, -log10( P ) = 6.37) for significant associations and 0.05/nSNPs (0.05/2337054 = 2.14E-08, -log10( P ) = 7.67) for extremely significant associations.

The statistical difference between the two groups was analyzed by t -test, and p < 0.05 means significant, and p < 0.01 means extremely significant. 5.

Futhermore, P < 0.01 and P < 0.001 were considered extremely significant statistical difference. 3 RESULTS 3.1 IOP changes Pre-to post-operative IOP changes in the five groups were fully recorded and statistically analyzed.

If the correlation coefficient passes the significance test, then an extremely significant (at 99% confidence level) or significant (at 95% confidence level) linear correlation is indicated.

Regression Model Analysis In Table 3 , F value of this model was 63.28, p value < 0.0001 (extremely significant), and the misfitting item was 0.8223 > 0.05 (insignificant).