Excerpts

These differences were highly significant ( p < 0.000).

The statistic was 17,064 with 15 degrees of freedom, which was highly significant (p = 0.000).

In our study, it was found that participants with longer mandibular length had a low percentage of impaction as compared to those with short mandibular length, and this difference was found to be highly significant ( P = 0.00) on overall basis as well as in males and females separately.

II), genotype, and epithelial zone yielded a highly significant difference for HC type ( F (1,46) = 1348.33, P = 0), but for no other comparison.

As shown in S10 Fig , the results of the randomization tests indicated that the markers in beta cells generally had higher ranking scores, and exhibited extremely significant differences compared to the ranking scores obtained through random assignment (with p < 0 . 0 0 1 ).

In all brain regions of alpha frequency band, the GLM fitting straight line was calculated and results showed an increasing trend of functional connectivity with age in seven groups, in which parietal region ( t = 5.0473, p = 0.000), left temporal region ( t = 6.1788, p = 0.000), right temporal region ( t = 5.0392, p = 0.000) and occipital region ( t = 12.7523, p = 0.000) showed significant increasing trend, as shown in Figure 2 . 3.3.

It was a highly significant correlation between these two dimensions of spiritual well-being (religious well-being and existential well-being) (r=.74, p=.000) and also between each dimension and total score of spiritual well-being (r=.93, p=.000).

Chi-Square between the number of children in different age groups was highly significant (242.22; p < 0.000).

The average Heidelberg Short Early Risk Assessment Questionnaire (HKF-R10) was reduced from 83.792 to 69.391 until the patient was discharged and the P value is highly significant ( t test, P < .000), equaling a statistically detectable change over time ( Table 4 ; Figure 4 ).

The overlap between acute and chronic exposures was highly significant (421 genes; p - value = 0e + 00, odds ratio = 586.5, Fisher’s exact test).

Analysis of variance (ANOVA) revealed that pH had a highly significant effect on turbidity removal efficiency (F(5,12) = 3446.5, p ≈ 0.000, with a very large effect size (η2 =0.999).

In addition, the likelihood ratio test of mixed effect logistic regression versus logistic regression was highly significant (p=0.000) which shows there is significant heterogeneity within and between regions at the place of delivery of mothers.

In the rural area a decreasing trend was shown from 2012 to 2019 ( p < 0.00).

On statistical analysis, an extremely significant difference was noted ( P = 0.000) [ Table 3 ].

The binary logistic regression model, gave the omnibus test as highly significant (LR chi square value being 135.745; P = 0.000), with the Hosmer Lemeshow test showing no significance at P > 0.05, proving a goodness of fit model for this sample.

However, post-test comparisons revealed highly significant differences in favor of the sports subgroups ( p = 0.000 for both SOB and PI), reinforcing the positive impact of sports participation on social integration.

The association between side effects and adherence showed a highly significant relationship ( P value = 0.000).

ANOVA exhibited highly significant difference (F 10, 43 = 55.08; p ≤ 0.00) between dates of observation and mean comparison of date revealed pre-treatment data differed significantly in the mite population from that of 4th to 25th days after treatment (DAT), whereas there were non-significant differences between mite population of 28th, 31st and 35th days after treatment.

A statistically highly significant correlation (r= 0.79, p< 0.000 1) between tt-MA and S-PMA was found.

As we moved from the metric invariance model to the scalar invariance model, the increase in Chi square was highly significant (Δχ 2 (18) = 203.849, p < .000).

P -values and FDR were extremely significant; indeed top two pathways have zero chance of being false positive ( P = 0; FDR = 0).

The GM volume for congenital hearing loss had a Hedges’ g of −0.26 (RE model was highly significant: Q 113 = 1340.91, p = 0.00, I 2 = 93.0%), indicating a decrease in global brain GM ( Fig. 7 ).

These results were calculated using the Wald method with continuity correction factor and were highly significant due to the large number of people sampled ( P < 0.0000).

Reproduction and population growth parameters The effect of temperature was highly significant for the different reproductive parameters including gross ( F = 11.41; df = 4; P value = 0.00) and net ( F = 14.405; df = 4; P value = 0.00) fecundity rates, gross ( F = 15.82; df = 4; P value = 0.00) and net ( F = 17.51; df = 4; P value = 0.00) fertility rates, mean eggs per day ( F = 10.66; df = 4; P value = 0.00) and mean fertile eggs per day ( F = 13.15; df = 4; P value = 0.00) ( Table 1 ).

Meanwhile, the Australian study utilized an intervention approach to see how an obesity pamphlet (experimental) and a stress pamphlet (control) affected the parental perception of child's weight.[ 27 ] Results showed no difference in accuracy of child's weight perception between their control and experimental groups ( P = 0.353), though they did find a trend toward significance when examining the interaction effect between intervention and child's weight categories P = 0.0.