However, tested by the independent two-sample t -test ( Table 6 ), the difference in medians was statistically extremely significant at the 100% confidence interval ( p = 0.000, 2-tailed).
Excerpts
The proportion of children affected by moderate or severe stunting showed an increase with age, this increase was shown to be highly significant ( p = 0.000), between the youngest age group versus the older age groups, respectively.
In all four research areas, only the dependencies on the variables of the age of the respondents and their length of service turned out to be statistically highly significant ( p ≤ 0.000).
They demonstrated highly significant differences in the standard scores of the three groups on the neuroticism dimension, F(2, 87) = 281.104, p = 0.000.
The F-statistic of the model is highly significant ( p < 0.000 with 18; 5501 degrees of freedom), meaning there is a significant relationship between expected household consumption and the explanatory variables.
The relationship between the two dependent variables was also analysed, and a highly significant correlation was found between BMI z-score and body fat percentage (r = 0.539, p = 0.000). 3.3.
Regarding nurses’ knowledge, the current study showed that there were highly significant differences in knowledge mean scores between pre- and post-implementation of a standardized protocol for oxygen therapy ( p = 0.000).
The analyses performed using the Mann–Kendall test for the proportion of TB/HIV coinfection among men ( Figure 13 a,b) revealed a highly significant upward trend ( p < 0.000).
Through a univariate analysis, this issue—“ is there water? how is it available? ” showed a highly significant difference ( p = 0.000) (see Table S1 in the Supplementary Materials ) between markets.
However, when tested by the independent two-sample t -test (2-tailed), the difference in CO 2 concentrations before and after the ventilation improvement is statistically extremely significant at the 100% confidence interval ( p = 0.000 in Classroom 1, 387 and 740 measurement points; p = 0.008 in Classroom 2, 387 and 718 measurement points).
Board-moisture content had a highly significant effect ( p = 0.000), while the effect of particle fraction on formaldehyde content ( p = 0.806) had no statistical impact.
The correlation coefficients for these corrected worry-annoyance relations, based on individual scores, are all three highly significant ( p = 0.000). 3.3.
The coefficient of the spatial auto-correlation was 0.55, which is highly significant in the models with p = 0, indicating the apparent neighborhood effects.
The entire table also indicates a highly significant and positive ( p = 0.000, T b = 0.458) association between social inclusion and participation in decision making for both genders.
When comparing the scores, highly significant differences in the affective evaluations were reported for the motivational quote/comic comparison (T = 7.392, p = 0.000) and the influencer/comic comparison (T = 4.950, p = 0.000).
First, a modified t-test reduced the effective sample size to 11,010.13 (df = 11,008.13), yet the corrected test statistic remained highly significant (t = 36.84, p = 3.06 × 10 −280 ).
Similarly, the prevalence of typhoid was notably elevated in Bumbu (91.3%) compared to Bandal (77.4%), with a highly significant X 2 result ( p < 2.2 × 10 −16 ).
One notes highly significant terms for time (β-est. = 0.21, (95%C.I. 0.17, 0.25), p < 2.2 × 10 −16 ), monthly cannabis use (β-est. = 2.97, (1.91, 4.03), p = 8.2 × 10 −8 ), cannabis use quintiles (β-est. = 3.86, (2.45, 5.27), p = 1.2 × 10 −7 ), dichotomized cannabis use quintiles (β-est. = 3.54, (2.19, 4.89), p = 4.4 × 10 −7 ) and time: quintile interactions. 3.4.
Importantly in an additive model with the other four drugs cannabis use is highly significant (β-estimate = 0.45 (0.32, 0.57), p = 7.24 × 10 −12 ).
A significant trend was found (Chi Squ. = 312.2, df = 164, p = 2.63 × 10 −11 ). 3.8.2.
II difference was highly significant ( p = 6 × 10 −11 ).
We find a highly significant improvement in model performance (R 2 of 0.035 vs. 0.14, p < 10 −10 ). 3.2.
All results were highly significant with p < 0.000001.
Statistical analysis of the obtained data showed highly significant ( p < 0.00001) differences in all domains of quality of life between the studied time points.
The overall pooled effect size of acculturative stress in the intervention group was not significantly reduced versus control [mean difference: −0.36 (95% CI: −0.72, 0.00) at p = 0.05] with a highly significant difference in the heterogeneity (I 2 = 81% at p < 0.00001) ( Figure 4 a).