The elements involved in selecting a good statistical forecasting case are set forth. These include realism, managerial decision making possibilities, provision of extensive data, allowances for discussion of data incompleteness and possible additional data needs, and possibilities for utilizing a variety of forecasting methods. A case describing forecasting contributions to the United Way of America, used in graduate and undergraduate statistics classes, is presented. Finally, a list of grading criteria with suggested weights and issues to be covered is presented.

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