Common use of Statistical Hypotheses Clause in Contracts

Statistical Hypotheses. The null and alternative hypotheses are formulated in terms of the predefined margin of 0.05 for noninferiority: H0: µ(T) – µ(C) ≥ 0.05 Ha: µ(T) – µ(C) < 0.05 where µ(T) and µ(C) denote the mean distance VA for PRECISION1 and Biotrue, respectively, on the logMAR scale.

Statistical Hypotheses. The null and alternative hypotheses are formulated in terms of the predefined margin of 0.05 for noninferiority: H0: µ(Tμ(T) – µ(Cμ(C) ≥ 0.05 Ha: µ(Tμ(T) – µ(Cμ(C) < 0.05 where µ(Tμ(T) and µ(Cμ(C) denote the mean distance VA for PRECISION1 logMAR scale. and BiotrueAOHP, respectively, on the logMAR scale.the

Statistical Hypotheses. The null and alternative hypotheses are formulated in terms of the predefined margin of 0.05 for noninferiority: H0: µ(T) – µ(C) ≥ 0.05 Ha: µ(T) – µ(C) < 0.05 where µ(T) and µ(C) denote the mean distance VA for PRECISION1 DT1 and BiotrueInfuse, respectively, on the logMAR scale.

Statistical Hypotheses. The null and alternative hypotheses are formulated in terms of the predefined margin of 0.05 for noninferiority: H0: µ(T) – µ(C) ≥ 0.05 Ha: µ(T) – µ(C) < 0.05 where µ(T) and µ(C) denote the mean distance VA for PRECISION1 and BiotrueClariti 1-Day, respectively, on the logMAR scale.