Significance of Statistically significant level
Statistically significant level is a statistical term used to indicate that the results observed in a study are unlikely to be due to chance, suggesting a meaningful effect. It often involves the use of a P-value as a measure to assess the probability that the results occurred randomly. This level serves as a crucial indicator ensuring that the effects observed in experimental data are credible and not merely coincidental.
Synonyms: Statistical significance, Significant level, Alpha level, Confidence level
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The concept of Statistically significant level in scientific sources
The Statistically significant level denotes a criterion indicating that research results are unlikely to arise from chance, often determined through P-values, and confirms that observed effects in data are genuinely meaningful.
From: AYU (Journal of Research in Ayurveda)
(1) A measure indicating that the effect observed in the experimental data is unlikely to have occurred by chance.[1]
From: World Journal of Pharmaceutical Research
(1) A measurement indicating that the results obtained are unlikely to have occurred by chance, often assessed using a P-value.[2]
From: Ayushdhara journal
(1) A statistical term indicating that the results observed in the study are unlikely to have occurred by chance, hence suggesting a meaningful effect.[3]