correct rejection
no stimuli and no response
Correct rejection refers to a situation in hypothesis testing where a null hypothesis is rejected when it should be rejected, and not rejected when it should not be rejected. It is an indication that the statistical test used to test the hypothesis is working correctly.
An example of correct rejection is when a drug company conducts a test to determine the effectiveness of a new drug. The null hypothesis is that the drug has no effect on the condition being treated, and the alternative hypothesis is that the drug is effective. In this case, if the drug is truly ineffective, and the statistical test correctly rejects the null hypothesis, it is considered a correct rejection. On the other hand, if the drug is truly effective, and the test correctly fails to reject the null hypothesis, it is also considered a correct rejection.
It is important to note that correct rejection does not necessarily guarantee the truth of the alternative hypothesis but instead indicates that the test used to make conclusions about the hypothesis worked correctly.
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