Rejecting the null hypothesis is a statistical decision made when the observed data provides sufficient evidence to conclude that the null hypothesis is false. This term is crucial in the context of hypothesis testing, where researchers aim to determine if there is a significant difference between a sample statistic and a population parameter or if there is a significant relationship between variables.
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