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When your decision is to fail to reject the null hypothesis but in reality it is false (e.g., there actually is a difference between groups), you are making a _____________?

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When your decision is to fail to reject the null hypothesis but in reality, it is false (e.g., there actually is a difference between groups), you are making a Type II error. The probability of this error is denoted by the beta (β).
User VanSkalen
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