A two-sided z-test uses . The test statistic falls in the rejection region but the null hypothesis is actually true. This outcome is
- A
A Type II error — failing to reject a false null
- Bcheck_circle
A Type I error — rejecting a true null
- C
A power of test issue, not an error
- D
A correct decision
Explanation
Rejecting H₀ when H₀ is true = Type I error, occurring at rate α. Type II is failing to reject when H₀ is false.