Common Mistakes in Design of Experiments

This presentation serves as a guide detailing common mistakes made in the Design of Experiments (DOE) based on over 50 years of experience. It outlines a comprehensive list of causes for why planned experiments often fail to yield useful results. The document discusses various pitfalls, such as using raw R-squared values, misinterpreting statistical significance, and failing to randomize experiments. It emphasizes the importance of proper planning and execution in DOE to avoid misleading outcomes. The guide also provides recommendations for improving experimental design, including the necessity of consulting subject-matter experts and maintaining accurate records. Additionally, it highlights the significance of training operators and ensuring data accuracy. The insights presented aim to help practitioners recognize and mitigate these common errors to enhance the effectiveness of their experiments aimed at quality improvement.