False Null Hypothesis
With Type I error, this is an incorrect rejection of a true null hypothesis. By mistakenly rejecting the null hypothesis means erroneously accepting different a hypothesis. So basically, in this scenario or situation, this means that the drug is classified or considered unsafe (but in reality the drug is safe). Also, Type II error is the incorrect failure to reject a false null hypothesis. That is incorrect as well and accepting the null hypothesis. For this scenario, it correlates into that the drug is considered to be safe (in reality the drug is not safe/unsafe). Regardless of whether we conclude that the sample does or does not represent the predicted relationship, we may be wrong (Heiman, 2015).
When the chance of saving a human life
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