Barely Significant
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“highly significant”

132,143 sentences · 132,143 papers · 160,126 search hits before verification · confirmed specimen

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p=0.09

Listed by Hankins (2013)

In the literature

highly significantp = 0.0010.0× alphaqualifiedgold
We pooled the absolute errors from both computations and applied matched pairs t-test and Wilcoxon signed rank test, which were highly significant with p = 0.001 and p = 0.003 for the two-tailed test, respectively.
Predicted preference conjoint analysis.
PLoS One · 2021 · PMC8389521
highly significantp < 0.0010.0× alphaqualifiedgold
The lowest values of index tests, the ROMA and SRR, were found in women with benign masses, with the differences between this group and both borderline and early stage malignancies being highly significant ( p < 0.001).
highly significantp < 0.0010.0× alphaqualifiedgold
HT-29 cells treated with 0.1 μg/mL of LPS for 48 h (called “control + LPS”) induced a highly significant increase ( p < 0.001) of all the tested cytokines with respect to the control ( Figures 2 and 3 ).
highly significantp<0.0010.0× alphaqualifiedgold
The difference between the two groups was highly significant (p<0.001, Student’s test, two-tailed, with Microsoft Excel) in terms of the evolution of the sequences, meaning that recent Guangxi CRF08_BC strains were more evolutionarily different from each other, suggesting perhaps that these strains undergo adaption that allows them to infect people in this locality.
highly significantp < 0.0010.0× alphaqualifiedgold
The Mann–Whitney U-test for statistical analysis of the distribution of I-ELISA PP values showed that there were highly significant differences ( p < 0.001) between PP values of subpopulations from the RVF-endemic and RVF-free groups per animal species of sheep, goats, or cattle ( Table 4 ).
highly significantp<0.0010.0× alphaqualifiedgold
The total number of cases in each solar term across the two years was summed, and a chi-square test revealed a highly significant nonuniform distribution of cases across the solar terms (p<0.001).This study employs time series decomposition to break down the disease incidence sequence into three core components: the long-term trend component (T t , reflecting the baseline changes in incidence), the seasonal component (S t , characterizing the periodic fluctuations of the solar terms), and the residual component (R t , random noise).
highly significantp < 0.0010.0× alphaqualifiedgold
The exploratory factor analysis (EFA) was appropriate as indicated by a Kaiser–Meyer–Olkin (KMO) measure of sampling adequacy of 0.846 and a highly significant Bartlett’s Test of Sphericity ( p < 0.001), showing two common factors with a cumulative contribution rate of 59.61% extracted.