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Determine the appropriate statistical methods for informing valid data-driven decision making in professional settings.

Each day, management professionals are faced with multiple decisions affecting various aspects of the operation. The ability to use data to drive decisions is an essential skill that is useful in any facet of an operation. The dynamic environment offers daily challenges that require the talents of the operations manager; working in this field is exciting and rewarding.Throughout the course, you will be engaged in activities that charge you with making decisions regarding inventory management, production capacity, product profitability, equipment effectiveness,and supply chain management. These are just a few of the challenges encountered in the field of management. The final activity in this course will provide you with the opportunity to demonstrate your ability to apply statistical tools and methods to solve a problem in a given scenario that is often encountered by a manager. Once you have outlined your analysis strategy and analyzed your data, you will then report your data, strategy, and overall decision that addresses the given problem.The project is divided into twomilestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final submissions. These milestones will be submitted in Modules Three and Seven. The final project is due in Module Nine.In this assignment,you will demonstrate your mastery of the following course outcomes:

1.Apply data-based strategies in guiding a focused approach for improving operational processes.

2.Determine the appropriate statistical methods for informing valid data-driven decision making in professional settings.

3.Utilize a structured approach for data-driven decision making for fostering continuous improvement activities.

3.Propose operational improvement recommendations to internal and external stakeholders based on relevant data.

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