In statistics, when we say there is a significant difference between two groups or variables, it means that the observed difference is unlikely due to chance alone. It suggests that there is likely a real effect or relationship between the variables being compared.
Related terms
Null Hypothesis: The assumption that there is no significant difference or relationship between variables.
Effect Size: A measure that quantifies the strength or magnitude of the observed difference between groups.
Type I Error: Mistakenly concluding that there is a significant difference when, in reality, there is none (false positive).