The model for bulk density was highly significant, F (4,157) = 6.685, p < 0.001, the process parameters explaining 15 % of the overall variance in bulk density.
Excerpts
The results of one-way ANOVA showed that the data had extremely significant statistical significance ( p < 0.001).
Combined analysis of variance for two years showed a highly significant (P < 0.001) to significant (P < 0.01) differences among groundnut varieties for grain yield, days to 50 % flowering, days to maturity, seeds per pod, pods per plant, 100 seed weight, except for both stand count at emergence and harvest.
Wilks' lambda test, which checks the linear relationship between the predictors and the grouping variable (i.e., the validity of the analysis) was highly significant (P < 0.001).
Mean SAS-SV scores differed substantially between these two stratified groups and the comparison was highly significant (t (262) = -19.97, p < .001).
In the AMMI ANOVA the main effects of the environment (E) (54.18 % SS), genotype (G) (16.9 % SS) and GEI (23.50 % SS) were highly significant (p < 0.001).
The duration of diabetes exhibits a notable negative correlation with limits of stability, which is highly significant (B = −0.09, SE = 0.02; Beta = −0.31; t = −4.50, p = 0.001).
Effect on serum creatinine, urea, uric acid and albumin Positive control (only lead acetate treated) group showed highly significant (P < 0.001) increase in serum creatinine, urea, uric acid and extremely significant (P < 0.001) reduction in albumin levels compared to negative control.
Finally, in RBC there is a clear trend in favor of the Cell Salvage (p < 0.001), although the moderate heterogeneity between studies should be noted ( Fig. 5 ).
The varieties showed highly significant (p < 0.001) among the year while the year and interaction effect (V × Y) varied (p < 0.05) for the variation of dry matter yield between the six Napier grass varieties.
ANOVA revealed that there was highly significant (p < 0.001) difference among the thirty six genotypes for all studied traits except days to emergence.
Regional GDP has a positive and highly significant impact (0.1687, p < 0.001), indicating that higher regional economic performance increases rental prices, reflecting the influence of economic conditions on housing demand.
The heterogeneity accounting for the differences in effect sizes among the studies included in the meta-analysis was large and highly significant (Q (51) = 179.742, p < 0.001).
All the four tests (Wilks' lambda, Pillai's trace, Lawley-Hotelling trace and Roy's largest root) were highly significant (p < 0.001).
Leaf area [ cm 2 ] : The interactions of Azolla and nitrogen fertilizer on leaf area were highly significant ( P ≤ 0.001) ( Table 1 S).
The logistic regression analyses showed that the model was highly significant with the six significant variables ( x 2 = 116.54 , p < 0.001 ).
The average of anxiety was 3.81 (SD = 4.99) across all three waves, with a decreasing trend from 4.21 (SD = 5.19) in the first wave, to 3.81 (SD = 4.9) in the second wave, to 3.39 (SD = 4.87) in the third wave (p < 0.001).
The results were considered statistically significant if p < 0.05, more significant if p < 0.01, and highly significant if p < 0.001 as compared with the background group.
Very highly significant correlation coefficients ( r =0.7601, p <0.001) noticed between salt tolerant indices of survivability rate and root length as well as shoot length and shoot weight ( r =0.6997, 0.8897 p <0.001) indicate that they have very strong positive correlation among each other.
A highly significant interaction effect between time and group was observed (F = 20.107, p < 0.001, η 2 = 0.422).
As seen in Table 4 , the Corrected Model was highly significant (F(7, 312) = 19.58, p < 0.001, η 2 = 0.305), indicating that the model as a whole effectively explains a significant proportion of the variance in the dependent variable.
There was a highly significant and negative effect of the ring width logarithm on Ca ( p < 0.001, ***, Fig. 4 d) and wider rings had lower Ca concentrations.
When compared to the control group, it was highly significant (P < 0.001).
The combined ANOVA in the present study showed highly significant (P < 0.001) differences among sorghum genotypes, test environments, and G×E effects.
The results from the analysis of variance showed a highly significant difference (p < 0.001) among almost all the traits studied.