It is clear from the ANOVA results ( Table 3 ) that the model was highly significant and meaningful with a very low probability value ( p < 0.01) and high SS for all responses, which can appropriately explain the relationship between each response and independent variable.
Excerpts
Conversely, a highly significant ( P < 0.01) increase in the BC was recorded with the 50LC-SLNs group by ∼27% compared with the control group.
The preponderance of developing a high risk of 10-year CVD was highly significant among the age group of 51–60 years, males, who were smokers, obese, and hypertensive participants ( P < 0.01).
At 10°C, the percent hatching was significantly higher than at 25°C ( F = 11.20; df = 4, 60; p < 0.01, Table 2 ), and the interaction was also highly significant ( F = 3.46; df = 12, 60; p < 0.01).
Statistical significance was defined as P < 0.05, with highly significant differences denoted by P < 0.01 and P < 0.001, respectively.
The unified model with fMRI-based characteristic path length as outcome variable and characteristic path length from all 4 EEG bands as regressors had a borderline significant p value of 0.052, with only the delta EEG-based characteristic path length showing a significant effect of p = 0.01 (Table 6 ).
A p -value of less than 0.05 was considered statistically significant (* p < 0.05), and a p -value of less than 0.01 was considered highly significant (** p < 0.01).
Differences were considered significant at P < 0.05 and highly significant at P < 0.01.
Intraindividual (•) and interindividual (*) significant differences were reported as significant (•; /*) at p values < 0.05 and as highly significant (••/**) at p values < 0.01 and ( ... /***) at p values < 0.001. 3.
In the overall sample, both boys and girls show statistically highly significant differences ( p < 0.01) in the majority of motor performance items.
The cultivar × treatment interaction was highly significant (F = 136.57, p < 0.01), indicating differential responses of the two cultivars under the second harvest conditions. 3.2.
If the correlation coefficient was highly significant (P<0.01), indicating there was reasonable correspondence between traits, data were averaged over sites or years environments.
Subsequently, comparisons across the groups were scrutinized using Student’s t-tests, with the significance levels clearly demarcated as *P < 0.05, indicating marginal significance; **P < 0.01, denoting moderate significance; and ***P < 0.001, representing high significance.
The t-test analysis revealed that this difference was highly significant ( p < 0.01) ( Fig. 6B ).
Differences were deemed statistically significant at a threshold of p < 0.05 and highly significant at p < 0.01.
A significant trend of decreasing willingness to accept treatment with increasing educational attainment was observed (p < 0.01, following adjustment for price, gender, age, and experience with heart disease) (Table 2 ).
Correlation matrix given in Table 3 also showed highly significant (p < 0.01) negative correlation of AAC with CT repeat (r = − 0.909).
As expected, extremely significant differences ( P < 0.01) were observed in the RFI and FCR between the LRFI (-22.70 and 4.64) and HRFI (19.11 and 5.73) groups, respectively.
The increase in extract concentration was positive for the retention of ROA, but detrimental to the retention of CAR and CNA (effects highly significant, p ≤ 0.01).
One-way ANOVA revealed a highly significant difference among the groups ( p < 0.01), indicating that the incorporation of SN extract influenced the fiber diameter significantly.
We found that older age (HR 1.066, 95% CI 1.043 to 1.089) and higher white blood cell count (HR 1.135, 95% CI 1.080 to 1.192) were highly significant independent risk factors ( p value < 0.01).
Model terms were considered statistically significant at p < 0.05, while highly significant effects were identified at p < 0.01.
On the basis of n = 40 observations, Lleras et al., ( 2011 ) calculated the correlation between mean successful search time ( X ) and the proportion of rapid resumption responses ( Y ): \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {r_{XY}} = .51 $$\end{document} , a highly significant correlation ( p < .01).
Among the 27 shared metabolites, 15 displayed highly significant differences ( P < 0.01), with 11 downregulated and 4 upregulated.
The correlation coefficients between phenotypic traits of lettuces are shown in Table 3 , with most traits showing extremely significant positive correlations between each other ( P < 0.01), but the correlation coefficients between geometric and color traits were less than 0.5, indicating that the geometric and color traits of lettuce differed in how they described the growth and appearance of lettuce.