Moreover, SI had a moderately significant positive association with BI (r = 0.54, P < 0.01).
Excerpts
Notably, ANOVA analysis for females indicated highly significant differences between the calculated and actual ages across all age segments (P<0.01).
mirabilis: imipenem was substantially significant with a p-value of <0.05, while aztreonam, gentamicin, and meropenem were highly significant with a p-value of <0.01 (a p-value less than or equal to 0.05 is considered statistically significant, while that greater than 0.05 is considered not statistically significant).
In the present study, there was a moderate positive correlation between IT and RT, which was statistically significant (p<0.05), a high positive correlation between IT and ISQ, which was highly significant (p<0.01), and a moderate positive correlation between RT and ISQ, which was statistically significant (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.
Observed differences and associations were considered significant (p <0.05); highly significant if p<0.01, and non-significant if p>0.05.
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.
GLSB50 and GLSB70 (300 mg/kg per day) showed extremely significant increases in HC50 values (serum half-hemolytic values) (p < 0.01 and 0.05, respectively).
On statistical analysis, the association of the mean nuclear profile of OL and OSCC was found to be highly significant when compared to the control group (P value <0.01).
The frequency distribution and median of debridement pain VRS scores between various groups were highly significant ( P < 0.01), calculated using the chi-square test (Table 4 ).
Spearman’s correlation coefficient found a highly significant inverse relationship between plasma IL-10 levels and platelet count after 24 hours (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.
A significant level was measured at p≤0.05, and highly significant at p≤0.01.
Moreover, a statistically highly significant difference was found between the groups in the rates of heart failure occurrence and positive inotropic drug use (p<0.01, p<0.01).
The mean difference in intermolar distance between the four groups was analyzed using one-way ANOVA (Table 3 , Figure 2 ) and was found to be statistically highly significant (p<0.01).
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 ).
There was no significant difference in the GH under 75 gm OGTT (mean, peak, and nadir) between different groups of clinical severity apart from backache with a highly significant difference (P-value <0.01, <0.01, and <0.01), respectively, as shown in Table 3 .
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).
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.
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).
Furthermore, it shows a highly significant positive association between the participants' occupation, their level of education, and their level of knowledge (P=0.01).
When comparing fellow eye dVD to the RRD dVD, the analysis revealed a significant difference in the macula-on subgroup (p = 0.01) and a highly significant difference in the macula-off subgroup (p < 0.01).
The KMO measure of sampling adequacy was 0.96, and Bartlett’s test of sphericity was highly significant (χ2 (21) = 2609.39, p < 0.01), confirming that the correlation matrix was suitable for factor analysis.
Employment and duration of illness were highly significant with a positive relationship to treatment adherence (p = 0.010 and 0.000, respectively).
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 ).