The answer depends on how the test has been set out and, at this level of detail, it is essentially up to the user.
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Rejecting or Failing to reject the Null Hypothesis (Ho) depends of the P-Value. Generally, the P-value (probability( Observation | Ho ) ) is around .05, thus minimizing the Type 1 error rate. If the P-value < Alpha , you would reject the Ho, and instead believe the Ha (Alternative Hypothesis), and if the P-value > Alpha, you would Fail to reject the Ho because there is not enough evidence to believe the Ha.
If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.
you do not need to reject a null hypothesis. If you don not that means "we retain the null hypothesis." we retain the null hypothesis when the p-value is large but you have to compare the p-values with alpha levels of .01,.1, and .05 (most common alpha levels). If p-value is above alpha levels then we fail to reject the null hypothesis. retaining the null hypothesis means that we have evidence that something is going to occur (depending on the question)
You chose whether or ot to reject the null hypothesis. Or you repeat the experiment.
The word 'reject' is both a verb and a noun.The noun 'reject' is a concrete or abstract noun depending on context.The noun 'reject' is a concrete noun as a word for a person or a physical thing dismissed or rejected.The noun 'reject' is an abstract noun as a word for an idea or a concept dismissed or discarded.The abstract noun forms of the verb to reject are rejection and the gerund, rejecting (words for a process).