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Sticky Note
Which of the following statements is true about the type-II error?
  1. Type-II error means to accept an incorrect hypothesis
  2. Type-II error means to reject an incorrect hypothesis
  3. Type-II error means to accept a correct hypothesis
  4. Type-II error means to reject a correct hypothesis
Explanation
  • A Type-II error means accepting an incorrect hypothesis (or failing to reject a false null hypothesis).
  • This means that the test or experiment has failed to detect a significant effect or difference when it actually exists.

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