When there is a failure to find a significant effect that actually exists, this is referred to as a:

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When we fail to find a significant effect that actually exists, it is known as a Type II error. This means that we have incorrectly accepted the null hypothesis (which assumes that there is no effect) when it is actually false. In other words, we have missed a real effect because our study did not have enough statistical power to detect it.

When There Is a Failure to Find a Significant Effect