Barely Significant
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“highly significant”

132,143 sentences · 132,143 papers · 160,126 search hits before verification · confirmed specimen

Sighted at

p=0.09

Listed by Hankins (2013)

In the literature

highly significantP = 0.0000a p-value is never exactly 0qualifiedgold
3B ) showed statistically significant differences among populations (df: 2, F = 3.725, P = 0.043) and the interaction between Artemia population and As concentration was also highly significant (df: 3, F = 40.185, P = 0.0000). % mortality was significantly lower in A. parthenogenetica from Odiel compared with A. parthenogenetica from Cabo de Gata (P = 0.0216), and higher in A. franciscana compared with A. parthenogenetica from Cabo de Gata (P = 0.009).
highly significantp < 0.0000a p-value is never exactly 0qualifiedgold
Differences in the number of spiral forms between the control and samples treated with 3-BP were statistically significant in a 1 h incubation ( p < 0.05) and highly significant for all time points starting from the 2 h incubation ( p < 0.0000).
highly significantp = 0.000a p-value is never exactly 0qualifiedgold
In this investigation, as in two other studies [ 20 , 33 ], it was found that age plays a paramount role in the type of lesions detected; also, a highly significant relation was found between the type of lesions and the site at which they were recorded, as described by Parra Sanabria et al. 2018 ( p = 0.000) [ 33 ].
highly significantp =0.000a p-value is never exactly 0qualifiedgold
Compared with the negative control where a gradual decline in the mean bacterial counts was observed between 5 and 15 mins, a highly significant reduction ( p =0.000) in mean bacterial counts was observed for E. faecalis (77.3+13.6) and A. viscosus (39.6+12.6) after 5 min exposure to MTADN approaching to almost no growth after 10 min and 15 min exposure.
highly significantp = 0.000a p-value is never exactly 0qualifiedgold
Different SQI versions in comparison Comparison of SQI K and SQI for patients under the age of 65 years using linear least-squares regression analysis revealed a highly significant correlation ( t = 15.57, p = 0.000, R-squared = 0.304, 95% CI: 0.54–0.69).
highly significantp = 0.000a p-value is never exactly 0qualifiedgold
Interestingly, the percentage of GC in the Paenibacillus genomes were found to have a loose, but highly significant, linear correlation with the number of genes per Kbp of genome size, as well as with the total genome size and total gene count in the genome ( p = 0.000; R 2 = 0.258; S1B and S1C Fig ).