Accuracy assessment methods and current challenges
Accuracy assessment methods and current challenges
Accuracy assessment methods and current challenges
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Type II error<br />
H o is incorrectly accepted (fail to detect a meaningful<br />
difference that does exist).<br />
Probability of making a Type II error is β <strong>and</strong> related<br />
to the power of the test (1- β).<br />
Type I errors typically viewed x4 more important<br />
than Type II, so commonly, β = 0.2<br />
or (1- β) = 0.8
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