24 ppm), and was highly significant ( p < 0.0001).
Excerpts
From the variance analysis, it is shown that the p -value of the regression model is extremely significant ( p < 0.0001).
Additionally, the model reached a highly significant correlation ( p < 0.0001), and the lack of fit of this model is insignificant ( p > 0.05).
The post hoc Tukey’s test shown in Figure 5 provides strong statistical evidence for this cytotoxic effect, particularly at 100 μg/mL, which showed highly significant reductions in cell viability ( p < 0.0001).
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.
The preference of aroma of feeding males was highly significant (G = 22.64, p < 0.0001 by males and G = 48.50, p < 0.0001 by females) by both sexes ( Figure 1 ).
Statistical analysis by One-way ANOVA revealed a highly significant seasonal effect on the anti-inflammatory activity of R. officinalis essential oils ( p < 0.0001).
A highly significant cytotoxic effect ( p < 0.0001) was identified in MDA-MB-231 (100 to 700 μM) and in MDA-MB-468 (100 to 400 μM).
The reduction in both the predicted downregulated and knock-out lines was highly significant ( p < 0.0001) supporting the predictions of the gene-editing effects on the hss gene in Table 1 .
Multiple regression analysis was performed using the quadratic polynomial model described by Equation (1), linking the independent variables to EE response: (1) Y = 56.32 + 0.5366 X 1 + 1.73 X 2 − 0.2654 X 3 − 0.4980 X 1 X 2 + 0.5468 X 1 X 3 + 0.0390 X 2 X 3 − 8.95 X 1 2 - 6.52 X 2 2 − 5.14 X 3 2 Analysis of variance for the regression model ( Table 2 ) revealed that the model exhibited a highly significant F-value of 830.28 ( p = 0.0001).
The interaction terms were also highly significant, including treatment × cell type, F(5, 48) = 13,118, p < 0.0001; treatment × time, F(5, 48) = 22,079, p < 0.0001; cell type × time, F(1, 48) = 36,270, p < 0.0001; and treatment × cell type × time, F(5, 48) = 6897, p < 0.0001.
Results ( Table 2 ) showed that the effect of subjects on aroma release was highly significant ( p < 0.0001) for all the assayed compounds ( Table 2 ), which indicated a high interindividual variability on the immediate oral release of esters.
However, the production of xylanase mainly depends on the moisture level, as the quadratic and linear effects of this factor were highly significant ( p < 0.0001), confirming the single-factor experiment results ( Table 2 ) and the influence in the metabolic rate of the interaction between these two parameters.
AC and CD had significant effects on polyphenol content ( p < 0.05), and D, A 2 , B 2 , C 2 , and D 2 had extremely significant effects on polyphenol content ( p < 0.0001) ( Table 3 ).
The regression model was highly significant ( F = 121.05, p < 0.0001), while the lack of fit ( p = 0.97 > 0.05) was insignificant relative to the pure error, indicating a good fit of the regression equation to the experiment.
The statistical difference between the NaCl and NaOH groups was highly significant ( p < 0.0001), confirming the non-irritating nature of NaCl.
Effect of Amplitude and Time on Total Phenolic Content and Anthocyanins The linear amplitude term (β 1 ) for the extraction of TPC was significant at p < 0.01, while the quadratic terms for amplitude and time (β 11 , β 22 , respectively) were highly significant ( p < 0.0001).
The similarity between the two groups was also evaluated using PERMANOVA, which showed slightly significant differences between the HCC and control groups: p -value < 0.0001, but the pseudo-F value is low (pseudo-F = 1.43). 2.3.
Highly significant main effects of cell line (F = 428.7, p < 0.0001), ICG concentration (F = 312.4, p < 0.0001), and time after irradiation (F = 189.6, p < 0.0001), a significant line × concentration interaction (F = 67.3, p < 0.0001) confirmed the difference in sensitivity.
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 model was highly significant ( p < 0.0001), while the lack-of-fit term was not significant ( p > 0.05), indicating a good fit and significant main effects.
The extraction temperature ( X 2 ) and time ( X 3 ) showed a highly significant impact on the extracted amount of rhein because of their p -values of <0.0001.
The results suggest that the change of extraction temperature had highly significant effects on the yield of polyphenols ( p < 0.0001) from the bamboo shoots of Phyllostachys pubescens under microwave irradiation.
Several compounds such as 6 , 15 , and 18 (10–20 mg/kg; s.c.; b.i.d.) showed highly significant inhibitory activity ( p < 0.0001) and at a level approaching that of the MR-1 anti-CD154 antibody used as positive control ( Figure 6 ). 3.
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).