statistics

The power of a test and the factors that influence the power of a test

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ProtutorMawesh. answered · 03/04/2021

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In simple terms, the power of a test is the probability of a test's significance to detect a deviation from the H₀ (null hypothesis). That is; the likelihood of rejecting the null hypothesis when it is false.

Factors that influence the power of a test

Sample size (denoted by n)
The level of significance ( $α$ )
The amount of error variance
Difference between group means

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The power of a test and the factors that influence the power of a test

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