Significance of Statistically highly significant
Statistically highly significant indicates a strong confidence that observed results are not due to chance, suggesting a reliable treatment effect. In Ayurveda, it signifies a very low probability of results occurring by chance, highlighting a strong effect. Health Sciences define it by low p-values (often <0.001), demonstrating strong evidence against the null hypothesis and implying a meaningful difference in outcomes, unlikely due to random chance.
Synonyms: Statistically noteworthy, Statistically significant
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Hindu concept of 'Statistically highly significant'
In Hinduism, "statistically highly significant" signifies results with a p-value of 0.000, demonstrating a negligible chance occurrence. It reflects strong confidence that observed effects are genuine and not random.
From: Journal of Ayurveda and Integrated Medical Sciences
(1) This phrase describes the outcome of tests where the p value is 0.000, indicating a very low probability that the observed results occurred by chance, highlighting a strong effect.[1] (2) This is a term used to describe the results of the trial, indicating that the observed differences are unlikely due to chance.[2] (3) This shows a very high level of confidence that the treatment has a real effect.[3] (4) This phrase indicates a very high level of confidence that the observed results are not due to chance, suggesting a strong and reliable effect from the treatment on the patients.[4]
From: International Research Journal of Ayurveda and Yoga
(1) The text mentions statistically highly significant, indicating that the results of the study showed a significant difference.[5]
The concept of Statistically highly significant in scientific sources
"Statistically highly significant" indicates research results unlikely due to chance, often with p-values less than 0.001. It suggests a meaningful, verified treatment improvement and strong evidence against the null hypothesis, demonstrating a notable difference.