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 logMAR scale. and AOHP, respectively, on the

Appears in 1 contract

Samples: Investigator Agreement

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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 logMAR scale. DT1 and AOHPInfuse, respectively, on thethe logMAR scale.

Appears in 1 contract

Samples: Investigator Agreement

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 logMAR scale. PRECISION1 and AOHPClariti 1-Day, respectively, on thethe logMAR scale.

Appears in 1 contract

Samples: Investigator Agreement

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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 logMAR scale. PRECISION1 and AOHPBiotrue, respectively, on thethe logMAR scale.

Appears in 1 contract

Samples: Investigator Agreement

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