Type I & Type II Errors (College Board AP® Statistics): Study Guide
Type I & Type II errors
What are the four possible conclusions of a hypothesis test?
There are four possible conclusions of a hypothesis test
Two good outcomes
H0 was false and H0 got rejected
H0 was true and H0 was not rejected
Two bad outcomes (errors)
H0 was true but H0 was rejected (a Type I error)
H0 was false yet H0 was not rejected (a Type II error)
Conclusion | |||
---|---|---|---|
Reject | Do not reject | ||
Reality |
| Type I | No error |
| No error | Type II |
What is a Type I error?
Type I errors occur when a hypothesis test gives sufficient evidence to reject H0 despite it being true in reality
This is sometimes called a “false positive”
In a court case this would be when the defendant is found guilty despite being innocent
What is a Type II error?
Type II errors are when a hypothesis test gives insufficient evidence to reject H0 despite it being false in reality
This is sometimes called a “false negative”
In a court case this would be when the defendant is found innocent despite being guilty
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