Through the case setting of a flu clinic, candidate techniques are demonstrated for handling problems in hypothesis testing, estimation, adaptive allocation of information-gathering resources, and before-and-after-type comparisons. In some cases, classical statistics prove quite adaptive to the requirements of the situation, while in others, its introduction is more artificial. Figures, equations, and five references are provided. (Author abstract modified)
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