Correct answer: (B) Type-II error accepts the null when it is false.
Explanation
Type II means failing to reject (the question says “accepting”) a false null; Type I means rejecting a true null. Their probabilities concern different underlying hypotheses and have no universal ordering or sum constraint. **B**.
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