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What is the formula for Power?
Power = 1 - β
What are the differences between Type I and Type II errors?
Type I: Reject true null (false positive), probability α. | Type II: Fail to reject false null (false negative), probability β.
What are the differences between Power and β?
Power: Probability of correctly rejecting a false null. | β: Probability of failing to reject a false null.
What is a Type I error?
Rejecting a true null hypothesis (false positive).
What is a Type II error?
Failing to reject a false null hypothesis (false negative).
What is power of a test?
The probability of correctly rejecting a false null hypothesis.
What is significance level (α)?
The probability of making a Type I error.
What is β (beta)?
The probability of making a Type II error.