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Power BI development projects leverage statistical methods to enhance decision-making by analyzing data trends and patterns. Techniques like regression analysis, hypothesis testing, and time-series forecasting help identify key insights and predict future outcomes. Statistical visualizations, such as histograms, box plots, and scatter plots, allow users to better understand data distributions and relationships. These methods empower stakeholders to make data-driven decisions by providing objective analysis, improving accuracy, and reducing uncertainty. Additionally, Power BI’s integration with statistical tools and libraries enables advanced analytics, ensuring a comprehensive approach to decision-making in business operations.

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