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      Question

      In hypothesis testing, failing to reject a false null

      hypothesis is known as:
      A Type I error Correct Answer Incorrect Answer
      B Type II error Correct Answer Incorrect Answer
      C Power of the test Correct Answer Incorrect Answer
      D Level of significance Correct Answer Incorrect Answer
      E Correct decision Correct Answer Incorrect Answer

      Solution

      Type I error (α) is rejecting a true null hypothesis. Type II error (β) is failing to reject (i.e., accepting) a false null hypothesis. The power of a test (1-β) is the probability of correctly rejecting a false null hypothesis.

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