To reject the null hypothesis means to determine, based on statistical analysis, that there is enough evidence to conclude that the null hypothesis is not true. This decision typically arises from hypothesis testing where a p-value is compared to a predetermined significance level. If the p-value is less than this significance level, we conclude that the observed data is unlikely under the assumption of the null hypothesis, thus leading to its rejection.
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