Barely Significant

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highly significantp < 0.00030.0× alphaqualifiedgold
From trial 7 onwards, however, both single elements were discriminated from their compound, which was highly significant at the last acquisition trial (trial 10: Chi 2 -test; p < 0.0003; after Bonferroni correction), resulting in a stable and significant discrimination after 1 h consolidation time (MEM: Chi 2 -test; p < 0.0003; after Bonferroni correction). 3.4 Response latency decreased during multimodal learning Si
highly significantp = 0.00030.0× alphaqualifiedgold
The model test was highly significant for both, symbolic (χ 2 = 13.26, df = 1, p = 0.0003) and non-symbolic (χ 2 = 37.30, df = 1, p<0.0001) stimulus modalities (Effect Wald test: χ 2 = 6.53, df = 1, p = 0.01 for symbolic stimuli, and χ 2 = 12.32, df = 1, p = 0.0004 for non-symbolic stimuli; Unit Odd Ratio: 2.22 for symbolic stimuli and 3.26 for non-symbolic stimuli).
highly significantP = 0.00030.0× alphaqualifiedgold
In line with this observation, a highly significant difference in average slow acetylation frequency was consistently found between populations living within the dry savanna biome or outside of it (Clim, P = 0.0003, P = 0.0054, and P = 0.0112, for the AFR, FP, and FPLS datasets, respectively, Table 4 ), irrespective of subsistence strategy.
highly significantp value = 0.00030.0× alphaqualifiedgold
Difficulty in breathing was the second most common presenting symptom reported in 32 patients (24.62%) with an incidence of only 2.70% in Group A while 33.33% in Group B and was therefore, found to be highly significant ( p value = 0.0003*). 5.41% cases in Group A did not have any symptoms while in Group B, 19.35% were asymptomatic ( p value = 0.046*).
Changing Trends in COVID-19 Symptomatology: A Survey-Based Analysis.
Indian J Otolaryngol Head Neck Surg · 2022 · PMC9702453
highly significantp = 0.00030.0× alphaqualifiedgold
Specifically, 74% (34/46) of concussive blast TBI patients were found to have 2 or more regions of abnormal FA and this was highly significant by chi-square compared to combat-deployed controls ( p = 0.0003). 3.2 Quantitative volumetric findings Quantitative volumetric analysis revealed that the DTI findings were not likely influenced by significant reductions in the brain anatomy but rather from microstructural injury to the regions themselves.