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Biostatistics & Research · single question

Type I error in statistics corresponds to:

  1. True positive
  2. True negative
  3. False positive
  4. False negative
Show answer and explanation

Correct answer: C. False positive

Type I error (alpha error) = false positive: rejecting a null hypothesis that is actually true. The researcher incorrectly concludes statistical significance exists. Type II error (beta) = false negative: failing to detect a true difference. Power = 1 - beta.

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