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In statistical hypothesis testing, a result has statistical significance when it is very unlikely to have occurred given the null hypothesis. More precisely, a study's defined significance level , is the probability of the study rejecting the null hypothesis, given that the null hypothesis was assumed to be true; and the p-value of a result is the probability of obtaining a result at least as extreme, given that the null hypothesis is true.

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