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null hypothesis significance testing
null hypothesis significance testing Null hypothesis significance testing is a statistical approach that evaluates whether an observed result is unlikely enough under a null hypothesis to be treated as statistically significant.
Null hypothesis significance testing is a statistical approach that evaluates whether an observed result is unlikely enough under a null hypothesis to be treated as statistically significant. In practice, it is often used to judge whether an effect is effectively negligible or large enough to matter, and power analysis is closely tied to this framework.