Barely Significant
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“highly significant”

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p=0.09

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highly significantp = 0.00060.0× alphaqualifiedgold
However, nonparametric tests using Spearman correlations partially contradicted the significance of these results for Experiment nTP ( p = 0.14), while the effect in Experiment nSP remained highly significant ( p = 0.0006).
Neural Encoding of Auditory Statistics.
J Neurosci · 2021 · PMC8336711
highly significantp = 0.00060.0× alphaqualifiedgold
Ordinary one‐way ANOVA followed by Tukey's multiple comparisons test was performed to compare the amount of mGluR‐LTD in the four different conditions (control; roscovitine; LP‐211; LP‐211 + roscovitine, Figure 1c ), confirming a highly significant difference (*** p = 0.0006).
highly significantp = 0.00060.0× alphaqualifiedgold
Pre-pronation values of the PaO 2 /FiO 2 ratio were significantly different between groups (group S vs D: 150 ± 56 vs 115 ± 46; p = 0.006), but only pre-pronation FiO 2 remained highly significant at multivariate analysis (0.67 ± 0.16 vs 0.82 ± 0.18; univariate p = 0.0006, multivariate p = 0.001, OR 6.11).
highly significantp = .00060.0× alphaqualifiedgold
Although Cox proportional hazards regression does not provide a simple statistic (like R-square) to measure the percentage of the total variance in switching explained by the model, the relative "fit" of the model, as assessed by comparing the model with versus without the six predictor variables, indicated a highly significant fit (likelihood ratio = 23.836, p = .0006).
highly significantP = 0.00060.0× alphaqualifiedgold
3.5 Aggregate statistics across simulations In our simulations, we calculated the SD of elbow angles ( Supplementary Table S5 ) and defined flexibility as SD > 10°, because at the 10° threshold the mutant showed a highly significant shift (two-sided Fisher’s exact test, P = 0.0006; Supplementary Table S6 ).
highly significantp = 0.00060.0× alphaqualifiedgold
Effect of treatment, landscape diversity, and prairie vegetation on the bee community Regression analyses with the presence or absence of prairie strips and Shannon landscape diversity as independent variables indicated that strip treatment had a highly significant effect on the abundance of all bees ( Fig 3a and S6 Table ; p = 0.0006), 8 common bees ( Fig 3b ; p = 0.0014), 9 common bees ( Fig 3c ; p = 0.0022), and uncommon bees ( Fig 3d ; p = 0.0002).
highly significantp = 0.00060.0× alphaqualifiedgold
More formally, using a mixed linear effects logistic regression model that treated dataset as a random factor (which also controlled for SNP platform because dataset was nested within each platform), the overall association between schizophrenia and Froh in the combined sample was highly significant (β = 16.1, z = 3.44, p = 0.0006 in the imputed data, and β = 17.98, z = 3.89, p = 0.0001 in the raw data).