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A systematic way to make a decision of whether to reject or not reject the null hypothesis is to compare the p-value and a preset or preconceived $\alpha $ (also called a "significance level") . A preset $\alpha $ is the probability of a Type I error (rejecting the null hypothesis when the null hypothesis is true). It may or may not be given to you at the beginning of theproblem.
When you make a decision to reject or not reject ${H}_{o}$ , do as follows:
Conclusion: After you make your decision, write a thoughtful conclusion about the hypotheses in terms of the given problem.
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