Table 4 shows that ANOVA revealed a highly significant difference (p = .001*) among the three groups of naswar users.
Excerpts
For Miridae, treatment effects were highly significant in 2021 (F = 1871.29, p < 0.001) and remained significant in 2022 (F = 53.52, p = 0.0013).
Results of Chi-square test suggested that the frequency of RVA positive samples by either of the diagnostic assay combinations were different at a highly significant level (p< 0.001).
Since both dish and container random effects were highly significant (P<0.001), we included them in subsequent models.
Results Analyses revealed a highly significant medium-sized effect ( r = .30, p < .001) for the associations of QoL and service satisfaction.
The relationship of RGR with LWR was not significantly positive in plants of IT1, while in stressed plants it was highly significant (P≤0.001), probably explained by the lower development of DM in relation to leaf area.
Differences are considered significant if P < 0.05 (denoted with *) and highly significant if P < 0.001 (denoted with **).
However, there was a highly significant interaction between the two factors (‘condition x direction’: F 2,18 = 10.115, p <.001, η 2 p = .529).
When compared to the water control, mortality induced by quinine was highly significant (quinine 100 mM: Z = 6.37, p <0.001; quinine 10 mM: Z = 5.34, p <0.001).
The correlation is highly significant (R = 0.47, p<0.001).
There was a highly significant positive association (χ 2 = 19.845, d.f. = 2, p<0.001) between those who had been tested and those that knew they were contacts of COVID-19 confirmed cases, indicating government screening-testing-contact tracing measures were being carried out.
In addition to the ci-miRNAs that passed the bonferroni cut-off (P<0.00032), 4 borderline significant ci-miRNAs (miR-145, miR-424, miR-133a, miR-133b) (P<0.001), were also identified ( Figure 2 and Figure 3 ).
Timepoint, location, and the timepoint x location interaction were highly significant in accounting for differences in gene co-occurrence patterns (PERMANOVA, P<0.001 for all), although timepoint explained the most variation (timepoint R2 = 0.40, location R2 = 0.07, timepoint x location R2 = 0.04).
In Student’s t-test both correlations were highly significant (p<0.001).
Pooled data from three independent experiments revealed highly significant inhibition (p<0.001) as measured by slope, max-min and AUC analysis ( Figure 4C-E ).
Conversely, the "LOC other drivers" factor showed a highly significant association (p-value < 0.001) with increased odds of RTC involvement (aOR = 1.205).
Musk deer relative abundance showed highly significant differences among study areas (F 5,49 = 27.82, P<0.001).
While not all previously known DR variants were identified at genome-wide significance in our analyses, we observed an excess of nominally significant associations at these loci (p<0.001, Table B in S1 File ).
Our tabulated prediction accuracy (averaged over 39 subjects completing the experiment) over the full stimulus set (see Table 1 ) was highly significant for both valence (p < .001; signed rank; α = .05; h 0 : μ = .5) and arousal (p < .001; signed rank; α = .05; h 0 : μ = .5).
At a higher magnification ( Figure 6B ) the enhancement of oil droplets formation was readily observed (panel d), increase that is statistically highly significant (p = 0.001 for resistin vs. resistin+heparanase).
In contrast, the decrease in bacterial numbers seen after disinfection using the standardised protocol was highly significant (right hand p<0.001, left hand p<0.001).
The prototypicality of rationality for morality scale came out as a highly significant predictor, β = .54, t (179) = 7.86, p < .001.
Stent assisted coiling resulted in a highly significant increase of the inflow angle α from a mean value (SEM) of 119° (±6.5°) pretreatment to 130° (±6.6°) posttreatment (P ≤ .001).
As LAPS score was strongly associated with attitudes across all countries, judged by the highly significant p-values (p<0.001) that in most cases prevailed between LAPS and the attitude/willingness measures in Table 6 , potential correlations between LAPS score and age, gender, living status, possession of pet health insurance and income were tested ( S6 File ).
The recruitment was stopped early after a recommendation from the data and safety monitoring committee that was based on a highly significant difference between groups (p<0.001) in the incidence of the primary outcome favoring MV-PCI.