The differences were statistically significant (p<0.05) for delusions, depressed mood, restlessness, and agitation and highly significant (p<0.01) for disorganized thinking (Table 2 ).
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Also, an increasing trend of amplitude with san increase in the magnitude of stimulus variation was found in the intensity deviant responses (p<0.01) (one-way ANOVA) (Figure 3 ).
The mean age (in months) of children (at diagnosis) in the expired group was 1.9722 ± 2.90 compared to 16.45 ± 29.29 in the survival group, and this was highly significant (p=0.01) as shown in Table 4 .
When studied in terms of its relationship with the other two scoring systems, i.e., the GCS and the NIHSS, the FOUR score was found to have a slightly significant positive correlation with the GCS score (0.329, p < 0.01) and not to have a significant correlation with the NIHSS score (-0.179, p > 0.05).
There was also a moderately significant negative correlation between the NIHSS and GCS scores (-0.503, p < 0.01) (Table 4 ).
But in the same study, highly significant statistical difference (p-value < 0.01) in the outcome seen between groups contradicts the current research findings where the results do not have any significant difference.
Spearman’s correlation coefficient found a highly significant inverse relationship between plasma IL-10 levels and platelet count after 24 hours (p = 0.01).
A significant level was measured at p≤0.05 and highly significant at p≤0.01.
A significant level was measured at p≤0.05, and highly significant at p≤0.01.
Furthermore, it shows a highly significant positive association between the participants' occupation, their level of education, and their level of knowledge (P=0.01).
P-value=0.05<p<0.10 was considered suggestively significant, p-value 0.01<p≤0.05 was considered moderately significant, and p-value≤0.01 was considered strongly significant.
Whereas a statistically highly significant difference (p<0.01) with higher frequency for score 2 in Groups 2 (ProTaper) & 3 (WaveOne) with score 1 in Group 1 (hand K file) was found at the 24th hour (Figure 1 ).
However, correlation analysis revealed only a weakly significant association between KL grade and ESR (ρ = 0.241, p = 0.010), while other markers showed no significant correlation.
Significant or near-significant differences were noted for one question pertaining to vaccine attitudes/behaviors, regarding intention to get a vaccine if recommended by their doctor (p=0.01, V=0.39); one question related to vaccine knowledge, regarding need to get the influenza vaccine if received the previous year (p=0.05, V=0.18); and two questions regarding trust, namely trust in government influenza vaccination programs (p=0.04, V=0.19) and vaccine ingredients (p=0.06, V=0.18).
The mean haemoglobin (gm/dL) level was 8.7 ± 1.8 gm/dL in the severe malaria group and 10.8 ± 1.4 gm/dL in the uncomplicated malaria group, and the difference was highly significant (p-value < 0.01).
Likelihood ratio, Wald, and score tests were all highly significant (p < 0.01), hence supporting the robustness of age as a prognostic factor.
Respondents aged 25 to 35 years (41.01%) were commonly reported to have DH, the age distribution of which was found to be highly significant statistically ( P < 0.01).
These differences represented a highly significant time savings and variance between each group (p<0.01 calculated via the Wilcoxon signed-rank test).
There was a statistically highly significant difference seen (p<0.01) for Ra B within the acrylic-based soft liner (I) and silicone-based soft liner (II) groups, with higher values in the acrylic-based soft liner (I) group; the surface roughness after brushing (Ra A) between the acrylic-based soft liner (I) and silicone-based soft liner (II) groups, with higher values in the acrylic-based soft liner (I) group; and the average surface roughness (Rz) diff between the acrylic-based soft liner (I) and silicone-based soft liner (II) groups, with higher values in the acrylic-based soft liner (I) group.
There was a statistically highly significant difference seen between the S-ALP values between the test and control group (p<0.01) with higher values in the test group (Table 1 ).
For cognitive function, MMSE scores showed a highly significant difference (F (3,296) = 16.553, p < 0.01, η2 = 0.144), reflecting a large effect size.
Statistical analysis results show no significant difference in each period for the Baumann angle (p=0.368), but a slightly significant decrease in the LHCA at the long-time period (p=0.01).
Statistical significance was considered at P < 0.05, while results were regarded as highly significant at P < 0.01 and not significant at P > 0.05.
A moderate-to-strong agreement was observed (single measures intraclass coefficient = >0.5), with a statistically highly significant p-value (p < 0.01).
Between sessions one and three, all of the three techniques showed a decreasing trend of SpO 2 scores, with the exception of the pharmacological management of ADHD children (p<0.01) indicating that the uncontrollable ADHD children feel less anxious than in the other two approaches.