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Beta Risk, also known as Type II Error, occurs when a Statistical Test fails to reject a False null hypothesis, leading to the Incorrect conclusion that there is No effect or difference when one actually exists. This risk is inversely related to the Power of the test, which is the probability of correctly rejecting a False null hypothesis.
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