Finite-sample exclusion conditional on the cut

For independent identically distributed attempts, the radius is a one-sided confidence allowance for a common mean. For adaptive attempts it bounds the average predictable mean $N^{-1}{\sum }_i{\mu }_i$, not an automatically stationary population parameter.

The test uses observed scores and the classical allowance. The design error $e_Q$ is not subtracted again from the measured mean. It supplies a prospective quantum lower score and power calculation.