Rejecting the null refers to the process in hypothesis testing where the evidence collected from a study is strong enough to conclude that the null hypothesis is not true. This means that the observed data are statistically significant, indicating that there is likely an effect or difference present in the population being studied. When researchers reject the null, they are essentially saying that their findings support the alternative hypothesis, which often posits a specific effect or relationship.
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