The Power of a Test

The Power of a test is the probability of the test correctly rejecting a false null hypothesis. How can you increase the power of a test? [list=1] [*] You can hope for an extreme sample (drag point A to the right). [*] You can increase the alpha level, thus increasing the probability of rejecting the null hypothesis regardless of it being false or not (drag point B to the left). [*] You can increase the sample size (as long as it stays less than 10% of the population size). [/list]

 

Steve Phelps

 
Resource Type
Activity
Tags
hypothesis  hypothesis-testing  power  statistics  testing 
Target Group (Age)
14 – 18
Language
English
 
 
 
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