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Type one error refers to :

  • A.The probability of rejecting the false hypothesis
  • B.The probability of rejecting the true hypothesis
  • C.The probability of accepting the false hypothesis
  • D.The probability of accepting the true hypothesis

Answer: B

A Type I error is the probability of rejecting the true hypothesis.

A Type I error occurs when the null hypothesis is true but the test rejects it. Its probability is the level of significance, \(\alpha\).

Accepting (failing to reject) a false null hypothesis is a Type II error, with probability \(\beta\). Rejecting a false hypothesis and accepting a true one are correct decisions, not errors.

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