in Probability and Statistics edited by
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Type II error in hypothesis testing is

  1. acceptance of the null hypothesis when it is false and should be rejected
  2. rejection of the null hypothesis when it is true and should be accepted
  3. rejection of the null hypothesis when it is false and should be rejected
  4. acceptance of the null hypothesis when it is true and should be accepted
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