Barely Significant
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extremely significant

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extremely significantP < 0.00010.0× alphaqualified
(6) Y = 5.89 - 0.73 × X 1 - 0.023 × X 2 - 0.073 × X 3 + 0.13 × X 4 + 0.28 × X 1 X 2 + 0.57 × X 1 X 3 + 0.24 × X 1 X 4 - 0.035 × X 2 X 3 + 0.27 × X 2 X 4 + 0.073 × X 3 X 4 - 1.11 × X 1 2 - 1.29 × X 2 2 - 1.39 × X 3 2 - 0.97 × X 4 2 As shown in Table 3 , the Model was extremely significant ( P < 0.0001), but there was insignificant difference in the Lack of Fit ( P > 0.05), implying that this fitted quadratic polynomial model is accurate and reliable to predict the yield of PWZMLs extraction [35] .
extremely significantP < 0.00010.0× alphaqualified
Similar male preponderance was found in other comparable studies.[ 15 18 20 ] In some cases, although there was a female preponderance in others.[ 17 ] The higher male preponderance is not biological but could be due to environmental and lifestyle factors such as higher occupational exposure towards loud noise, greater prevalence of tobacco, and alcohol abuse and their higher probabilities of visiting the hospital than women.[ 21 ] An intragroup analysis revealed that following treatment, the reduction in mean THI score, and mean TFI score from baseline was extremely significant in each group at 4 weeks, 8 weeks, and 12 weeks ( P < 0.0001).
extremely significantP < 0.00010.0× alphaqualified
* represents P < 0.05, which means the difference is significant; ** represents P < 0.01, which means the difference is very significant; *** represents P < 0.001, which means the difference is extremely significant; **** represents P < 0.0001, which means the difference is more significant than ***; ns means the difference is not significant.
extremely significantP < 0.00010.0× alphaqualified
It is a nonparametric test that compares two unpaired sets of data significantly different when the p value is less than 0.05 (**** extremely significant P < 0.0001, *** extremely significant 0.0001 < P < 0.001, ** very significant 0.001 < P < 0.01, * significant 0.0.1 < P < 0.05 and ns not significant ≥ 0.05).
extremely significantP < 0.00010.0× alphaqualified
P values are calculated using unpaired t tests with Welch’s correction, and the levels of statistical significance are assigned as follows: P ≥ 0.05, not significant (n.s.); 0.01 ≤ P < 0.05, significant (*); 0.001≤ P < 0.01, very significant (**); P 0.0001 ≤ P < 0.001, extremely significant (***); P < 0.0001, extremely significant (****).