Rejecting the null refers to the decision made in hypothesis testing when there is sufficient evidence to conclude that the null hypothesis is not true. This process is essential for drawing conclusions about a population based on sample data and often involves comparing p-values to a predetermined significance level, which determines the threshold for rejection.
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