Barely Significant

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highly significantp -value < 0.00010.0× alphaqualifiedgold
The analysis of variance (ANOVA) shown in Table 5 confirms that the developed quadratic model is highly significant for predicting size add-on (%), with a model F -value of 86.77 and a p -value < 0.0001, indicating an excellent fit of the response surface model to the experimental data.
highly significantp-value < 0.00010.0× alphaqualifiedgold
Results: In the present study, total 110 study subjects responded by completely filling out the questionnaire The total calorie and protein intake of the study subjects before and after giving intervention for three months was found to be highly significant (p-value < 0.0001).
highly significantp < 0.00010.0× alphaqualifiedgold
A generalized additive model (GAM) fitted to the normalized data revealed strong non-linear temporal structure in activity under all light treatments, with highly significant treatment-specific smooths of time (all F > 380, all p < 0.0001), explaining 97.6% of the variance in normalised activity (adjusted R 2 = 0.97).