1
Q
Type II error
A
Failure to accept the alternate hypothesis; when a study states that there is not a significant relationship between two factors when a relationship actually exists.
2
Q
Power (in statistics)
A
Power = 1 - type II error (aka beta)
Power = probability of correctly rejecting the null hypothesis
3
Q
How does a high type 2 error affect the study’s power?
A
High type 2 error decreases the study’s power, questioning its validity ( power = 1 - type 2 error)
4
Q
Type I error
A
Accepting the alternative hypothesis when it is false
A false positive
COMBANK - Level 1
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