“highly significant”

Knowing someone with OA emerged as a highly significant predictor, making participants over 10 times more likely to have high knowledge (Exp(B) = 10.217, p = 0.000).

The ANOVA results indicate that the regression model is highly significant (value of p = 0.000), with an F -value of 990.024.

Here again the differences were highly significant (χ 2 531.4, p<0.0000).

In this investigation, as in two other studies [ 20 , 33 ], it was found that age plays a paramount role in the type of lesions detected; also, a highly significant relation was found between the type of lesions and the site at which they were recorded, as described by Parra Sanabria et al. 2018 ( p = 0.000) [ 33 ].

While LC turned out to be a predictive parameter for OS in univariate analysis, PTV was highly significant on MVA ( p < 0.000; HR 1.007; 95%-CI: 1.003–1.012).

The third palatal rugae were evidently shorter in class II div 1 patients than in class I patients by 4.24 mm and this difference was statistically highly significant as evident by a P value = 0.000 [ Table 4 ].

congolense Mikese compared to negative control was highly significant ( P = 0.000).

The effect of claim category was highly significant, F (1, 191) = 898.20, MSE =0.16, p = 0.000, partial eta-squared = 0.83.

Notably, the distance from the screen had a highly significant inverse correlation with CVS occurrence ( P =0.000; τ=−0.207**), indicating that greater distance reduced the risk.

The single variable coefficients show that all the chosen quantitative factors were highly significant ( P = 0.000) on esterification (%), with solvent type used for MBG preparation being weakly significant ( P = 0.033) which was also shown in previous paragraph.

The Bartlett test of sphericity for decision making autonomy among Nigerian women was highly significant (p<0.000) with chi-square of 44793 indicating homogeneity of variance by the decision making patterns.

Contrastingly, a study found that the mean knowledge scores of dental and pharmacy students were 114.375 ± 26.386 and 48 ± 30.0856, respectively, with a highly significant difference between the two groups (P = 0.000) [ 38 ].

( 29 ) altered the result from non-significant ( P = 0.34) to highly significant ( P = 0.000). 3.10 Quality assessment The quality of evidence for the incidence of PONV was rated as high.

It shows association between SES and psychological symptoms and also highly significant ( P = 0.000).

Post-Evr administration resulted in a highly significant decrease (27%, P = 0.00) in the mean levels ( Table 3 ).

Variation in the composition of taxa detected between the water and sediment sample types was highly significant ( P = 0.000, df = 1; Table S4 , Figure S2 ).

The values of salivary pH and salivary buffering capacity showed good correlation in both the type 2 diabetics and the control group, as the salivary pH decreased the salivary buffering capacity also decreased and the relationship was highly significant statistically ( P = 0.000) [ Table 2 ].

The model was found to be highly significant (R = 0.714; Rsq.. = 0.510; F = 10.661; p = 0.000).

A highly significant age difference was observed between the two groups, with patients in Group 2 being older (p < 0.000).

The difference between the experimental and control groups with respect to these measurements was statistically highly significant at 3 months ( P = 0.00) but not significant at 6 months ( P = 0.45) [ Table 1 ].

An effect of roughage was noted on the pH24, pH48, and b*, with highly significant interactions between factors noted for pH24 (P< 0.000), and b* (P< 0.000).

Statistically significant association of probable cases of PCOS was observed with age at menarche ( P = 0.001), religion ( P = 0.023), marital status ( P = 0.010), and gravida of patient ( P = 0.004), and highly significant association between PCOS probable cases and educational status ( P = 0.000), socioeconomic status ( P = 0.000), and dietary pattern ( P = 0.000).

The principle component was applied to conduct confirmatory factor analysis and the KMO was 0.913 and Bartlett’s Test of Sphericity was highly significant ( p < 0.000).

The change in R2 was highly significant [ F (df) = 98.084 (4,643); p = 0.000)], specifying that the additive working conditions indicators increased explanatory variance by 34.4%.

The FEV1/FVC ratio was also highly significant (F = 45.054, p = 0.000).