In statistics, significant evidence refers to results that suggest there is enough support to reject the null hypothesis. It indicates that the observed differences or relationships between variables are unlikely due to random chance alone.
Related terms
Type I Error: Rejecting the null hypothesis when it is actually true, indicating a false positive.
Type II Error: Failing to reject the null hypothesis when it is actually false, indicating a false negative.
p-value: A probability value that measures the strength of evidence against the null hypothesis. Smaller p-values indicate stronger evidence.