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alpha, false positive, type 1 error
Sometimes a statistical analysis of a treatment comparison will suggest that the treatments compared have differential effects when in fact they do not.
This false positive result is sometimes called a Type 1 error, or alpha, which describes the likelihood of concluding that a difference exists when it does not.
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