Barely Significant
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“highly significant”

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p=0.09

Listed by Hankins (2013)

In the literature

highly significantP < 0.0010.0× alphaqualifiedgold
A comparative analysis of the four clusters indicated a highly significant difference (df = 3, P < 0.001) among them for five of the six variables (soluble sugars: df = 3, Kruskal-Wallis chi-squared = 13.1, P = 0.004, Fig 4A ; insoluble sugars: df = 3, F = 13.1, P = 0.01, Fig 4B ; pH: df = 3, F = 17.7, P < 0.00001, Fig 4C ; Flavonoids: df = 3, F = 20.95, P < 0.00001, Fig 4D and Phenols: df = 3, F = 9.11, P < 0.001, Fig 4E ) that significantly described the clusters obtained.
highly significantp = 0.0010.0× alphaqualifiedgold
Soybean Yield Responses to the Increase in Average Temperature Over the Past 50 Years Our long‐term analysis across eight soybean production systems (rotation × tillage) showed that yields improved as average air temperatures increased, with highly significant relationships ( p = 0.001) observed for both rotation systems (Figure 4 ).
highly significantp < 0.0010.0× alphaqualifiedgold
Leaflet morphology further distinguished the diploid and tetraploid lineages, with a Wilcoxon rank-sum test applied to untransformed data revealing highly significant differences (p < 0.001) in leaflet width and length-to-width ratios across apical, lateral, and basal leaflets (Fig. 2A, B ).
highly significantp < .0010.0× alphaqualifiedgold
For response time, a three-way ANOVA for age groups (childhood, young-adulthood, mid-adulthood and older adulthood), language groups (monolinguals, multilinguals) and congruency (congruent, incongruent) revealed a highly significant main effect of congruency overall, F (1,322) = 464.7, p < .001, η p 2 = .59, The interaction between congruency and age group on response time was significant, F (3,322) = 9.0, p < .001, η p 2 = .08, but not for language groups, F (1,322) = .58, p = .45, η p 2 = .002.
highly significantP < 0.0010.0× alphaqualifiedgold
The observed Δ hue,true between the benthic and littoral groups (0.153) was consistent with a highly significant difference between the groups ( P < 0.001) based on a nonparametric bootstrap procedure for which we assumed that all individuals belong to the same group (see methods).
highly significantp < 0.0010.0× alphaqualifiedgold
The model fitted using RSM indicates that the linear term of solvent (X 1 ) was highly significant ( p < 0.001), demonstrating its strong influence on the response, whereas power (X 2 ) and time (X 3 ) did not show significant effects in the linear model.