Significance of Statistically significant difference
Statistically significant difference indicates a result that is unlikely to have occurred by chance, reflecting a genuine effect of a treatment or intervention. It implies that the observed differences in data, often supported by p-values of less than 0.05, reveal meaningful effects between study groups. This concept is essential in research to ascertain that findings are reliable rather than coincidental, suggesting a true effect in populations and distinguishing the efficacy of varying treatments based on statistical analyses.
Synonyms: Significant difference, Important difference, Marked difference, Substantial difference
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The concept of Statistically significant difference in scientific sources
Statistically significant difference indicates a meaningful disparity in knowledge and exam results between student groups, suggesting observed outcomes are unlikely due to chance and typically assessed through statistical tests and p-values during follow-up visits.
From: The Malaysian Journal of Medical Sciences
(1) This phrase indicates a meaningful disparity between groups or treatments, as observed in the study. It is a key aspect when comparing the operation times between two groups, for example, with a P-value indicating the likelihood of such a difference.[1] (2) This term indicates that the observed difference between groups or treatments is unlikely to be due to random chance, with a P-value less than 0.05.[2] (3) This phrase refers to differences that are unlikely to be due to chance, and it is seen in the context of the study.[3] (4) Results indicating notable variations between groups in a study, particularly regarding KPS scores post-surgery.[4] (5) A mathematical indication that the results are unlikely to have occurred by chance, showing meaningful changes between groups.[5]