The probability of committing a Type I error is also known as the ______ level of the test.

  • Confidence
  • Power
  • Significance
  • Size
The probability of committing a Type I error (rejecting a true null hypothesis) is known as the significance level (often denoted by alpha) of the test. A common significance level is 0.05, indicating a 5% risk of committing a Type I error if the null hypothesis is true.
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