Barely Significant

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highly significantp < 0.0010.0× alphaqualifiedgold
• ∗ indicates p < 0.05 (significant) • ∗∗ indicates p < 0.01 (highly significant) • ∗∗∗ indicates p < 0.001 (very highly significant) • ∗∗∗∗ indicates p < 0.0001 (extremely highly significant) • ns indicates p ≥ 0.05 (not significant) For the p-value test, a smaller value indicates stronger evidence against the null hypothesis, suggesting a more significant difference between the methods.
a significant trendp < 0.0010.0× alphagold
On running the Mann-Kendall test on temperature and rainfall data, the null hypothesis (H 0 ) of “no trend present” is tested against the alternative hypothesis (H 0 ) of “trend present.” The results from the test show that there exists a significant trend in the Minimum Temperature (p < 0.001) whilst the behavior of Maximum Temperature (p < 0.281) and Rainfall (p < 0.068) recorded over the period shows no significant trend (see Table 4 ). 4 Discussion 4.1 Land use change analysis To fully appreciate the degree of cover changes over the 30 years, the annual rate of change was used ( Eq.
moderately significantp = 0.0010.0× alphaqualifiedgold
The results of the meta-analysis showed that short-term tai chi exercise had a moderately significant effect on reducing the total PSQI score in older adults compared to the control group [SMD = −0.80, 95 % CI (−1.29, −0.32), p = 0.001] ( Fig. 4 ).
highly significantP < 0.0010.0× alphaqualifiedgold
Combined analysis of variance for two years showed a highly significant (P < 0.001) to significant (P < 0.01) differences among groundnut varieties for grain yield, days to 50 % flowering, days to maturity, seeds per pod, pods per plant, 100 seed weight, except for both stand count at emergence and harvest.