Question:medium

The probability of rejecting null hypothesis when it is true is known as

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Remember: Type I error = rejecting a true null hypothesis (False Positive).
Type II error = failing to reject a false null hypothesis (False Negative).
  • power of the test
  • type I error
  • type II error
  • level of significance
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The Correct Option is B

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