What are the differences between Type I and Type II errors?
Type I: Reject true null (false positive), probability ฮฑ. | Type II: Fail to reject false null (false negative), probability ฮฒ.
What are the differences between Power and ฮฒ?
Power: Probability of correctly rejecting a false null. | ฮฒ: 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 (ฮฑ)?
The probability of making a Type I error.
What is ฮฒ (beta)?
The probability of making a Type II error.
What is the formula for Power?
Power = 1 - ฮฒ
