Type I and Type II Errors
Type I and Type II errors
Real World
A pharmaceutical company sets p<0.05 to test a new antidepressant: too lenient a threshold risks a Type I error (approving an ineffective drug), while too strict a threshold risks a Type II error (rejecting a drug that genuinely works).
Exam Focus
Always state which error is more serious in context — examiners expect you to justify your answer with consequences.
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