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Sequential sampling is considered wherein, at each trial, the experimenter can choose to stop and take some action or else to perform one of two related experiments. An approximation to an asymptotically optimum decision rule is shown to be easily defined in practice and to be a Bayes rule in some cases. Average risks of this and other sequential design rules are compared