06 sep 2018
Source: ARTIST
NeymanPearson Paradigm
\(H_0\)

\(H_A\)

\(H_0\) = True  \(H_0\) = False  
Decide to reject \(H_0\) 
Type I error Alpha \(\alpha\) 
Correct True positive = Power 
Decide not to reject \(H_0\) 
Correct True negative 
Type II error Beta \(\beta\) 
The power of a test assuming a population effect size equal to the observed effect size in the current sample.
Source: O'Keefe (2007)