“extremely significant”

Specifically, there are extremely significant statistical differences between widowed and non-widowed elders in children’s economic support ( p < 0.001), children’s sick care ( p < 0.001), and children’s emotional support ( p < 0.001), respectively.

The Het difference between the two groups was extremely significant ( p < 0.001), and their distribution intervals were completely nonoverlapping.

Statistics GraphPad (version 5) was used to calculate unpaired and paired p values: ***, extremely significant, p < 0.001; **, very significant, p = 0.001-0.01; *, significant, p = 0.01-0.05; and ns , p > 0.05.

We observed that high concentrations of α -KG could reduce the PBE rate, while 100 μ M α -KG could significantly decrease the PBE rate of oocytes (S-table 1 ), and 10 and 20 μ M α -KG could significantly increase the PBE rate of oocytes (S-table 1 ), and the difference in the 20 μ M group was extremely significant (Con vs. 20 μ M: 64.7% ± 1.20% vs. 76.83% ± 1.05%, P < 0.001) ( Figure 1(b) ). 3.2.

Cytokine production by autologous T cells in coculture with DCs Coculture of autologous T cells with Der p 1-pulsed DCs induced significantly higher production of IL-4 (P<0.05) and extremely significant lower synthesis of IFN-γ (P<0.001) in the AP group compared with the HDs.

The results were interpreted as follows - Insignificant: P > 0.05, Significant: P < 0.05, Highly significant: P < 0.01, Extremely significant: P < 0.001 Observations A total of 33 patients with signs and symptoms of Amlapitta were registered.

It was further differentiated between extremely significant (***, p < 0.001), very significant (**, p = 0.001 to 0.01) and significant (*, p = 0.01 to 0.05) results.

The results showed an extremely significant positive correlation between SAR and AbunR (Fig. 3a ; R 2 = 0.833, P < 0.001), suggesting that the population with higher ‘Space Accessibility’ would occupy more space at t 2 .

On the other hand, extremely significant ( p < 0.001) and high R 2 values were recorded when evaluating the behaviour of DPPH • (0.9572), ABTS •+ (0.9376), and CUPRAC (0.9564).

In the patients grouped by hypertension, atrial fibrillation, and chronic kidney disease, we observed extremely significant differences in mean age ( p < 0.001).

Significance was indicated as: ns, not significant (p > 0.05); *, significant (p < values 0.05); **, very significant (p < 0.01); and ***, extremely significant (p < 0.001).

The significance thresholds were defined as statistically not significant (#), statistically significant (*p < .05), highly significant (**p < .01), or extremely significant (***p < .001).

The p-value obtained in the evaluated data was extremely significant (p<0.001) in all objective questions, validating the data used in this research ( Table 2 ; Figure 1 ).

More ANOVA and t -tests were calculated, with extremely significant results— p < 0.001.

Analysis of the correlation between the genetic distance and geographical distance of latitude, showed an extremely significant correlation and the fitting degree was relatively high (R 2 = 0.1867, P = 0.001, Fig. 3 ).

The difference between means is significant if p value < 0.05 (*), very significant if p value < 0.01 (**), and extremely significant if p value < 0.001 (***).

The EE of RJ-III@HACC-SLNs did not significantly decrease ( P > 0.05), that RJ-III@SLNs had an extremely significant decrease ( P < 0.001), during 3 h incubated in SGF.

The apoptosis rate in the serum-free group was significantly higher than that in the normal control group and the difference was extremely significant (P<0.001).

Consistently, there was an extremely significant increase in HbA1c% on comparing both T2DM+ATHR and T2DM-ATHR diabetic groups to the control group (P<0.001 and P<0.01 respectively).

The differences in abundance among Bacteroidetes, Firmicutes, Chloroflexi, Gemmatimonadetes, Proteobacteria, Actinobacteria, and Acidobacteria were extremely significant ( P < 0.001) at the phylum level ( Figure 2F ), while at the genus level, the abundance differences among Pseudomonas , Ralstonia , Lechevalieria , Rhodanobacter , Rhodococcus , Bacillus , and Flavobacterium were extremely significant ( P < 0.001).

The significance test analysis of the regression equation showed that the model was extremely significant ( p < 0.001), and the missing items were not significant ( p = 0.159 > 0.05).

The levels of serum CRP, IL-6, TNF-α, MMP-3, and MDA in patients with CSVD with cognitive frailty were significantly higher than those of the Control group, while the level of SOD was significantly lower than those of the Control group, and the differences were extremely significant ( p < 0.001).

In all cases, differences between treatment groups were considered if p < 0.05 marked “ * ”, significant if p < 0.01 marked “ ** ” and extremely significant if p < 0.001 marked “ *** ”.

Differences were considered not significant at P > 0.05, statistically significant at P < 0.05, very significant at P < 0.01, and extremely significant at P < 0.001.

Even though both formulations had the same type of time distribution (exponential), the distribution rate parameters differed in an extremely significant manner on the Kolmogorov–Smirnov test ( p < 0.001).