According to the chi-square test, this relation between age and third molars present was found to be highly significant (p=0.00).
Excerpts
A comparison of laboratory parameters between pre- and post-transplant of ABO-match and mismatch groups showed a highly significant association with hemoglobin, platelet counts, total leukocyte counts, and total bilirubin respectively (p=0.000).
A statistically highly significant reduction was seen with (p=0.000*) at the 1-hr interval in Group I.
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.
Table 4 shows the results of the multiple linear regression model, which was a valid model, as the F test was highly significant (p <0.000).
The mean difference between groups 1 and 2 and groups 1 and 4 was highly significant (p = 0.000 and 0.001, respectively).
The color score and vascular patterns were also highly significant (p < 0.000), with higher color scores and multiple vessel patterns linked to malignancy.
A chi-square analysis revealed a highly significant association between the awareness of guidelines and the number of compliant procedures performed by a resident (p<0.000).
The diagnostic accuracy value of MDW testing for early sepsis detection was highly significant (0.74, p < 0.000).
Moreover, the obtained results showed that this relationship was highly significant at p < 0.000; together, these findings indicate that the association between the two variables is unlikely attributed to chance (Table 5 ).
A Kruskal-Wallis test indicated a highly significant difference among the four experimental groups (p = 0.000).
Of those who had perceived stress during the past month, almost half students (50.8%) had poor quality of sleep, which was highly significant statistically (x 2 = 27.303, p = 0.000) (Table 4 ).
Results: The comparison of the fingerprint patterns in each group was found to be statistically highly significant (p=0.000).
Descriptive statistics and correlation between all study measures The correlation matrix revealed that PF had a highly significant (p=0.0000) inverse correlation with the adoption of preventive behavior; e-health literacy had a significant weak inverse correlation with fear of COVID-19, and PF (p=0.007, p=0.000 respectively).
The level of adherence was cross-tabulated with both hospitals, and the strength of association was calculated using a chi-square test (α = 0.05), which was found to be highly significant (p = 0.000).
A highly significant difference was observed between groups (P = 0.000) and between garlic and the other materials (P = 0.000).
The association between the histopathological report and RIPASA score was found to be statistically highly significant (p=0.000).
We found that EGFR was directly related to tumor differentiation, such that its expression increased with increasing grade of the tumor, and this was found to be statistically highly significant among the three grades (p = 0.000) of OSCCs.
The statistical analysis of the data using an ANOVA test indicated a highly significant difference (P < 0.000) in compressive strength values among the tested groups, as depicted in Table 3 .
The association between MRE timing and the final diagnosis was highly significant (χ2=27.3, p-value=0).
The effectiveness of the health education program was highly significant (p=0.000, Z=-4.725).
There was a highly significant difference, which was detected between the prevalence of parasitic infestation and diarrhea (P=0.000).
Statistical analysis revealed highly significant differences between techniques (p=0.00).
The final multivariate logistic regression model identified age as a highly significant risk factor for hypertension among people on ART (OR: 1.08, 95% CI: 1.055-1.11, p=0.000).
5.5%, 4%), which was highly significant (p=.000) (Table 2 ).