Barely Significant

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highly significantp = 0.00010.0× alphaqualifiedgold
The difference between the two averages of the peak heart rate was highly significant ( p = 0.0001; Wilcoxon signed-rank test, W = −225, n s/ r = 21, z = −3.9).
Heart Rate Behavior in Speed Climbing.
Front Psychol · 2020 · PMC7358187
highly significantp < 0.00010.0× alphaqualifiedgold
1 Y = - 99.560 + 39.480 x 1 + 81.593 x 2 + 62.304 x 3 + 9.735 x 4 - 1.300 x 1 x 2 + 1.125 x 1 x 3 - 0.275 x 1 x 4 + 8.250 x 2 x 3 - 2.154 ∗ 10 14 x 2 x 4 + 1.656 x 3 x 4 - 12.393 x 1 2 - 56.173 x 2 2 - 67.927 x 3 2 - 0.873 x 4 2 The quadratic model for the ANOVA was highly significant (p < 0.0001), suggesting that the model for the regression terms was adequate, and that a higher order model would not be needed.
highly significantP < .00010.0× alphaqualifiedgold
22 - 26 For DCIS components, in a prospective study by Kuhl et al 29 on 593 consecutive women with invasive cancer, the sensitivity advantage of MRI over mammography plus ultrasound for depicting DCIS components was highly significant ( P < .0001) and increased with increasing relative size and increasing nuclear grade of DCIS components.
highly significantp < 0.00010.0× alphaqualifiedgold
The second-order model obtained in terms of coded variables for extraction efficiency ( E (%)) of BB seed oil using UAE is given by Equation (1): (1) E % = 80.74 + 9.375 X 1 − 2.495 X 1 2 + 2.875 X 2 − 3.495 X 2 2 + 0.5 X 3 − 2.745 X 3 2 − 1.25 X 1 X 2 − X 1 X 3 + X 2 X 3 The ANOVA statistic for extraction efficiency (the response variable) proved that the regression model is highly significant, having a very high F-value of 46.67 and a low p -value of p < 0.0001.
highly significantp = 0.00010.0× alphaqualifiedgold
Furthermore, implementation clinics had a underlying higher probability of identifying patients exposed to violence (0.46); the size of the clinic, proxied by patient inflow was highly significant (p = 0.0001), with larger clinics identifying more patients and, as expected; time (measured in months or calendar months) increasing identification, meaning the underlying trend regardless of the implementation has a positive slope.