Curtailed Sampling for Variables

Abstract If the criterion for lot acceptance after testing n sample items is [Xbar]+ks ≤ L a sufficient condition for rejection after r tests is where [Xbar] and V r are the average and variance of the r observations, A = (n – r)/n, B = (r − 1)(n − 1) and C = r(n – r)/n(n − 1). If the acceptance criterion is [Xbar] + ks ≥ L then rejection is certain if and only if [Xbar] minus the square root is less than L.