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Using statistical models to identify project risks involves analyzing historical data, identifying patterns, and making predictions based on the available information. Here are some steps and methods you can employ. Define Risk Factors: Identify the key factors that can impact your project. These could include resource availability, team expertise, project complexity, stakeholder involvement, and external dependencies. Collect Historical Data: Gather data from past projects or similar initiatives. This data should include information on project duration, cost overruns, scope changes, and other relevant metrics. Data Analysis: Use statistical methods to analyze the historical data. Common statistical...