“highly significant”

The p of regression analysis of all factors and their interactions were highly significant ( p < 0.000) except for RHA/AA ratio with p < 0.004.

Another highly significant finding involves the association between stress-related eating behaviors and depression-related eating urges [ χ 2 =50.515, df = 2, P = 0.000], which is shown in the results as the vast majority [89.9%] of respondents who do not eat when stressed reported no urge to eat more when feeling down.

This was highly significant (F( 3 , 2691)= 739.23, P < 0.000; Figure 3B ).

Table 2 reveals that family history of mental illness was more prevalent among female respondents (57.7%) than among male respondents (2.9%); this difference is highly significant ( P = .000).

Although the model fit is highly significant based on the F-ratio of the mean square variance of the model to the mean square of the resid- ual (p< 0.0000 1), the F-ratio for the lack of fit against pure error is also statistically significant (p= 0.0055).

A two sample t-test reveals this difference in slopes to be highly significant (t-statistic =17.4, p -value ≈0).

Fisher Exact test was then employed in two consecutive steps: the first, an overall test, resulted in highly significant differences ( p = 0.000) and strong effect size (Cramer’s V = 0.57) among the routes.

There was an increase in the prevalence of HTN with age, and this association of HTN with age was found to be statistically highly significant ( P = 0.000).

According to BMI groups a highly significant difference in many patient satisfaction domains were found (P< 0.000).

Very highly significant (P<0.000) The sample size was calculated according to a pre-established formula: N = population size e = Margin of error (percentage in decimal form) Z = Z-score (desired confidence level, 95%: z score = 1.96) The estimated sample size required to achieve a precision of ±0.05% with a 95% confidence interval (CI) was 450 females.

The mixed model ANOVA results for the between-group effect were highly significant, with p = 0.00 and an effect size of 0.99.

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.

We also found a highly significant correlation of the general sense of coherence between T0 and T1 for the experimental group ( r = 0.885; p = 0.000).

Results: There was a highly significant difference in premaxillary width between the two groups ( P = 0.00), changes in anteroposterior projection of the premaxilla were significant one and three months after LR.

Regarding descriptive statistics for these results, the F test of one-way ANOVA shows a highly significant difference in surface roughness ( P -value = 0.000) among the five groups (C1, C2, P3, P5, and P7), as shown in Table 3 .

The log-rank test (Mantel-Cox) for equality of survival curves shows a highly significant difference ( P = .000).

Applying Pearson’s chi-square test, we found a highly significant statistical difference in grade of SCC differentiation in patients with and without neck metastasis (p = 0.0000).

The test showed a highly significant (p = 0.00) difference between the two groups (p<0.01) ( Table 3 ).

The SPAA was a highly significant positive predictor of normal vaginal delivery ( P = 0.000) with an area under the curve of 0.782 ( P = 0.000; 95%CI: 0.717–0.848).

This disparity in autonomy was highly significant ( P = 0.000).

On the other hand, the isolated effects of the product factor were highly significant, with p = 0.0000 for g s , p = 0.0009 for C i , and p = 0.0031 for E .

This defined 10 haplotypes, six of which were associated with low ToxB sensitivity (the ‘group 1’ haplotypes: 1.1 to 1.6) and four with high sensitivity (the ‘group 2’ haplotypes: 2.1 to 2.4), with the differences in ToxB sensitivity between these two haplotype groups found to be highly significant (Welch two sample t -test: t = 25.5, P ~ 0) (Supplementary Figure 1).

All these correlations were statistically highly significant (p = 0.0000) indicating that all parameters might depend on common social circumstances and sanitary conditions of the various countries.

Among the other factors, association of pain intensity with anemia and absenteeism was highly significant (P=0.000).

One-way ANOVA was used to evaluate the shear bond strength between Groups A, B, C, and D [ Table 1 ] and the difference in bond strength was found to be highly significant ( P = 0.000).