Barely Significant
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“highly significant”

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Sighted at

p=0.09

Listed by Hankins (2013)

In the literature

highly significantP < 10 −40.0× alphaqualifiedgold
The correlation coefficient between drip loss and colour score of LM was negative and highly significant (r = −0.62, P < 10 −4 ); two adjacent SNPs associated with both traits were within a region of 11.12 Mb (between 84.83 and 95.95 Mb) on SSC9, which indicates that this region may contain a pleiotropic QTL (Table 3 ).
highly significantp < 0.00010.0× alphaqualifiedgold
Compared to the total number of candidate genes (2476) from the SSH.qtl intervals and the number of known genes on autosomes (22,644, also excludes mitochondrial genes and haplotypes) this result is highly significant ( p < 0.0001) based on a hypergeometric test, which suggests positive enrichment of CF genes in the identified SSH.qtl intervals.
highly significantp < 0.00010.0× alphaqualifiedgold
The model is expressed by the following equation: Y = 30.166 + 1.04125A − 1.26875B − 0.24C − 1.55AB − 0.2075AC + 0.4575BC − 2.168A 2 − 4.998B 2 − 2.7405C 2 Analysis of variance (ANOVA) revealed that the quadratic model was highly significant (F-value = 675.07, p < 0.0001; Table 8 ).
highly significantp < 0.00010.0× alphaqualifiedgold
The weights estimated by this model match subjects' behavior very well, as shown by a comparison of model predictions and subjects' actual choices ( Figure 2 B) with the regression of actual observed weights on model predicted weights being highly significant in every individual subject (p < 0.0001; average R 2 [standard coefficient of determination] across subjects = 0.77; see Table S1 available online).