MCDB is a prototype database system for managing stochastic models for uncertain data. In this paper, we study the problem of how to use MCDB to answer statistical queries that search for database objects which satisfy some filter condition with greater (or less than) a user-specified probability. For example: "Which packages will arrive late with > 5% probability?" "Which regions will see more than a 2% decline in sales with > 50% probability?" "What items will be out of stock by Friday with > 20% probability?" We consider both the systems aspects and the statistical aspects of the problem.
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