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For the project selection example, suppose that the returns in the objective function are normally distributed with means as given by the expected returns and standard deviation equal to 10% of the mean. However, also assume that each project has a success rate modeled as a Bernoulli distribution. That is, the return will be realized only if the project is successful (use the "Yes- No" distribution in Crystal Ball). Success rates for the five projects are 0.80, 0.70, 0.90, 0.40, and 0.60, respectively. Modify the spreadsheet model, and use OptQuest to find a solution that maximizes the mean return.

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