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false negative test result

— Mistakenly concluding that there is no difference in effect between treatments, or between a treatment and no treatment, when there actually is


beta, false negative, type 2 error

Full explanation:

A conclusion that there is no evidence that treatments differ, when in fact they do. This is often called a Type 2 error, or beta.

The risk of a Type 2 error falls as the number of participant outcomes in a study increases.

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