Abstract: Sampling sufficiency determinations are performed using probability calculations and statistical analysis during a testing process of a population of items. For example, an auditing or reviewing process may involve testing a predetermined sample set of items from the population in order to draw statistical conclusions about the passing or failing rate of the population as a whole. During an ongoing testing process, probability calculations and statistical analyses may be performed regarding the likelihood of the population to pass or fail according to an acceptable failure rate, based on the test results of a subset of the sample set. The sampling sufficiency analyses may potentially allow determinations that the testing process may be stopped before the complete testing of the sample set, and that the population may be declared a passing or failing population within a desired level of confidence.

Abstract: Sampling sufficiency determinations are performed using probability calculations and statistical analysis during a testing process of a population of items. For example, an auditing or reviewing process may involve testing a predetermined sample set of items from the population in order to draw statistical conclusions about the passing or failing rate of the population as a whole. During an ongoing testing process, probability calculations and statistical analyses may be performed regarding the likelihood of the population to pass or fail according to an acceptable failure rate, based on the test results of a subset of the sample set. The sampling sufficiency analyses may potentially allow determinations that the testing process may be stopped before the complete testing of the sample set, and that the population may be declared a passing or failing population within a desired level of confidence.