If a null hypothesis is not rejected at the 0.05 level of significance, the p-value is bigger than 0.05

Question

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The p-value represents the probability of obtaining a result at least as extreme as the one observed, given that the null hypothesis is true. If the p-value is greater than the chosen level of significance (in this case, 0.05), it means the evidence is not strong enough to reject the null hypothesis, hence the p-value must be bigger than 0.05.

If a Null Hypothesis Is Not Rejected at the 0