Power of test
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Revision as of 08:05, 6 October 2019 by imported>Jworkorg (import)
The power of a test is the probability of rejecting background events in hypothesis testing ( 
Neyman-Pearson Diagram). It can also be defined as the probability of not committing a type II error in hypothesis testing.
