Type II error in hypothesis testing is
A) accepting the sample result when it should have been rejected
B) rejecting an alternative hypothesis that is actually true
C) accepting a null hypothesis when it is actually false
D) rejecting the sample result when it should have been accepted
E) none of the above
Correct Answer:
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