Barely Significant

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highly significantP < 0.00010.0× alphaqualifiedgold
wheat landraces Ethiopian tetraploid wheat association analysis yellow rust resistance 90 K wheat SNP array Highly significant differences were observed among accessions and accessions by environments ( P < 0.0001) in ANOVA analyses for stripe rust response in the field tests, but no significant difference was detected among environments.
highly significantp < 0.00010.0× alphaqualifiedgold
Non-musicians showed highly significant correlations at the group level for all pulse clarity-driven ICs ( p < 0.0001) except for IC 50 ( p = 0.06), whereas musicians exhibited significant correlations only for the four highest model orders [IC 70 ( p < 0.05), IC 80 ( p < 0.01), IC 90 ( p < 0.001), and IC 100 ( p < 0.005); see Figure 6B ].
highly significantp < 0.00010.0× alphaqualifiedgold
The output of this comparison shows the difference between the models to be highly significant ( Χ 2 (1) = 66.32, p < 0.0001), and the smaller AIC and BIC values and higher log likelihood of the full model also indicate the importance of mean word length as a predictor of the number of tonal contrasts ( Box 2 ).
Tone and word length across languages.
Front Psychol · 2023 · PMC10328820
highly significantP < 0.00010.0× alphaqualifiedgold
The difference is highly significant, either against the null hypothesis of equal frequencies (χ 2 = 48.9529, P < 0.0001), against the expected value based on the relative number of CDSs (χ 2 = 50.3648, P < 0.0001; a slightly increased χ 2 is because E. coli has slightly fewer included CDSs than B. subtilis ), or against the expected values based on both relative number of CDSs and genomic nucleotide frequencies ( e.g. , AGAA is proportional to P A 3 P G , AGAAA to P A 4 P G , and so on, where P X is the genomic frequency of nucleotide X in either E. coli or B. subtilis ), with χ 2 = 103.07, P < 0.0001.
highly significantP < 0.00010.0× alphaqualifiedgold
By applying Design Expert 8.0.7.1 to fit a multiple regression to the data, the quadratic equation of Schisandra chinensis AC yield (Y) to each factor variable can be obtained as: (1) Y = 1.11 + 0.14 A + 8.3 × 10 - 3 B + 0.14 C + 0.067 A B + 0.098 A C + 0.15 B C - 0.21 A 2 - 0.16 B 2 - 0.29 C 2 The results of the regression model analysis shown in Table 7 indicate that this quadratic multinomial regression model had highly significant differences ( P < 0.0001), indicating a highly significant correlation between the three independent variables involved and the response values of AC.