What does the 'power of a test' signify in hypothesis testing?

  • The probability of correctly rejecting a false null hypothesis
  • The probability of incorrectly accepting a true null hypothesis
  • The probability of making a Type I error
  • The probability of making a Type II error
The power of a statistical test is the probability that it correctly rejects a false null hypothesis. In other words, it is 1 minus the probability of making a Type II error.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *