Significance of Significant level
Significant level is a statistical term that describes the threshold used to determine if results from research are meaningful, commonly set at P < 0.05. This significance level indicates the probability that an observed relationship or result is not due to random chance. It is crucial in health studies and clinical trials to identify meaningful differences in data, such as those seen in malaria infection effects. Findings deemed significant suggest noteworthy implications in scientific research.
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Significant level in scientific sources
The keyphrase "Significant level" denotes a statistical indicator in clinical trials, representing the threshold at which results are considered meaningful, helping researchers determine the effectiveness of treatments or interventions tested in these studies.
From: The Malaysian Journal of Medical Sciences
(1) Significant level is set at a specific value to determine the statistical significance of the findings, indicating the likelihood that the results are not due to chance.[1] (2) This is the probability of rejecting the null hypothesis when it is actually true, indicating statistical significance.[2] (3) The threshold set for determining whether the mean differences are statistically significant, in this case at the 5% level.[3]