When our results are statistically significant, we refuse to reject the null hypothesis.

Question

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When our results are statistically significant, we reject the null hypothesis. This is because statistical significance indicates that the probability of obtaining our results by chance alone is extremely low, and therefore our results are likely due to a true effect or relationship. Rejecting the null hypothesis means we accept the alternative hypothesis as true.

When Our Results Are Statistically Significant, We Refuse to Reject