APFIVE Type I and Type II Error Definitions
All of the following statements regarding Type I and Type II errors in significance tests are true except:
A
A Type I error occurs when a false null hypothesis is accepted.
B
A Type II error happens when a false null hypothesis fails to be rejected.
C
A Type I error, also known as a false positive, is the mistake of rejecting a true null hypothesis.
D
The power of a test is calculated as 1 minus the probability of a Type II error.
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