Launch this Learning Path to expand your analytics education journey with the Minitab Education Hub.
While analyzing historical data can provide insights, experimentation is the only active scientific approach for revealing definitive cause-and-effect relationships. Design of experiments is a structured methodology for determining the relationship between key inputs and important outputs. This learning path emphasizes sound statistical approaches to identify key factors that impact a critical quality measure and optimize a product or process performance. You will explore tools to reduce process variation and expedite research and development projects. Specifically, discover the concepts of randomization, replication, blocking, center points, model building, graphical analysis, and optimization. All learning is presented using animated lessons, quizzes, and hands-on exercises to help you easily learn statistics and how to use Minitab Statistical Software.
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