Significance of Statistically non-significant
Statistically non-significant refers to findings that do not demonstrate a meaningful difference between test and control groups, indicating a lack of strong evidence for an effect. This concept is illustrated in cases where observed changes, such as blood sugar levels, do not show a statistically significant difference compared to the control group. Overall, statistically non-significant outcomes imply that the observed effects are not robust enough to be regarded as meaningful in a statistical analysis.
Synonyms: Insignificant, Inconsequential, Minor
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Statistically non-significant in scientific sources
Statistically non-significant indicates findings where results between test and control groups show no meaningful difference, suggesting that any observed changes, such as in blood sugar levels, lack strong evidence of an effect.
From: Journal of Indian Society of Periodontology
(1) An outcome where the observed effect is not strong enough to be considered meaningful in a statistical analysis.[1] (2) Refers to the findings where results did not show a statistically meaningful difference between the test and control groups, indicating no strong evidence of an effect.[2]
From: AYU (Journal of Research in Ayurveda)
(1) A finding indicating that the observed changes in blood sugar levels were not statistically meaningful compared to the control.[3]
From: Ayushdhara journal
(1) Indicates that there was no meaningful difference observed between the results of certain conditions or time points.[4]