Summarizis the result of the experiment either accepts or rejects the hypotheses
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More generally, a Type I error occurs when a significance test results in the rejection of a true null hypothesis. By one common convention, if the probability value is below 0.05, then the null hypothesis is rejected. ... Therefore, keep in mind that rejecting the null hypothesis is not an all-or-nothing decision
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