Compared to the control level, highly significant ( p value = 0.000) increases in the germination percentage of Zea mays were found in the following descending order: U. fasciata. polysacch. 5 mg/mL > U. fasciata. polysacch. 10 mg/mL > U. lactuca. polysacch., 5 mg/mL > U. lactuca. polysacch., 10 mg/mL priming solution agent.
Excerpts
The differences between the different parts were highly significant, with p = 0.000.
In Figure 2 A, LFX alone has obviously curbed biofilm formation, and except for the sample treated by 1⁄2 × MIC LFX ( p < 0.05, n = 4), the differences in other two cases by 1 × MIC and 2 × MIC LFX are extremely significant ( p = 0.000, n = 4) as compared with control.
In the 7th day ( Figure 1 C × MIC and 2 × MIC SH have exceedingly significant differences ( p = 0.000, n = 4).
This notion is in agreement with our data, where the regression analysis demonstrated a highly significant positive correlation between the galactose content and anti-cancer activity (R 2 = 0.58, p = 0.000 for B16F10 cell adhesion; R 2 = 0.95, p = 0.000 for anchorage-independent growth of HT-29 cells).
The model exhibited excellent discriminative power with a C-index of 0.901, and highly significant statistical results ( p = 1.207 × 10 −48 ).
Because the persistence-length data did not satisfy normality (Shapiro–Wilk p = 0.002), differences between force fields were assessed using a Wilcoxon rank-sum test, which showed a highly significant effect of force field ( p -value ≈ 10 −17 ), whereas no significant differences were detected across chain lengths, suggesting that the persistence length is largely independent of chain length over the range considered.
STRING analysis revealed a highly significant enrichment of protein–protein interactions (PPI enrichment p < 1.0 × 10 −16 ), confirming that the identified proteins are functionally connected rather than randomly associated.
Monthly differences were highly significant (Kruskal–Wallis p < 2.2 × 10 −16 ), and this factor exhibited the strongest seasonal component among the three, with a seasonal strength of 33.77%.
The slope coefficients were highly significant ( p -values < 2.2 × 10 −16 ), confirming a strong linear relationship between er and the IM-MS responses.
In particular, the adjusted R 2 for the two fits in Figures 3A and 4C from [ 6 ], are respectively, 0.97 and 0.25, where F value (160) for the fit comparison is statistically highly significant (P~10 −15 ).
We found a highly significant ( p < 10 −12 ) positive ( R 2 > 0.51) correlation between levels of expression of 2071 transcripts whose expression was affected by both stimuli.
The statistical analysis of antioxidant capacity confirmed significant differences among the tested materials, with ANOVA results ( Table S5, Supplementary Materials ) indicating a highly significant effect (F = 73.01071, p = 1.46 × 10 −8 ).
The outcomes of the study outlined a statistically highly significant negative correlation between the level of education and drug use (Pearson test, R (38) = −0.9282; p < 0.00001).
Statistical Inference Precision: The article reports highly significant p -values (e.g., p < 0.0001) from experiments with only three biological replicates per group.
The results indicated that the model for 2, 6-DIPA hydrolysis efficiency is highly significant, with an F-value of 50.59 and a p -value < 0.0001.
Furthermore, all quadratic terms (A 2 , B 2 , C 2 , and D 2 ) were highly significant ( p < 0.0001), suggesting pronounced nonlinear relationships in the extraction process, which is essential for interpreting the experimental outcomes [ 59 ].
Simultaneously, the results from Table 2 reveal that the individual factors A and D exert a highly significant influence on the response value ( p < 0.0001), while factors B and C exhibit a significant impact ( p < 0.05).
The serum IL1α levels were similar for both groups when the comparison was performed using a Tukey’s test ( p = 0.778); however, the linear test for trend indicated a significant trend ( p = 0.0001).
The results indicated that the regression model was highly significant ( F = 116.64, p < 0.0001), while the lack-of-fit term was not significant ( p > 0.05) [ 34 ].
ANOVA showed a highly significant effect of essential oil concentration and exposure duration on mortality rates ( p < 0.0001).
In Table 3 , it can be seen that the model is highly significant ( p < 0.0001, f = 62.17), and the lack of fit is not significant ( p > 0.05, f = 1.44).
After statistical analysis, the F -value of the APS of the lignin nanoparticles model is 230.57, all of which are highly significant ( p -value < 0.0001), and the p -value of the lack-of-fit term is not significant ( p > 0.05), suggesting that the model is accurate and reliable.
The results show that the differences between strains, oils and antibiotics were very highly significant p < 0.0001 ( Table 3 ).
The level of significance ( p -value) for each test is indicated in the figures using the following notation: ns ( p > 0.05)—non-significant, * (0.01 < p ≤ 0.05)—significant, ** (0.001 < p ≤ 0.01)—very significant, *** (0.0001 < p ≤ 0.001)—highly significant, and **** ( p ≤ 0.0001)—extremely significant. 5.