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.
- Identify the common goals and applications of control charts.
- Monitor processes that are measured with variables data collected in subgroups.
- Monitor processes that are measured with individual observations of variables data.
- Monitor processes whose performance is most meaningfully described by attributes data.
- Describe how well a process is performing in relation to its specification limits by using capability indices.
- Recognize when data about a business process permits a reliable capability analysis.
- Interpret various measures of process capability.
- Apply capability analysis to processes that involve non-normal data.
- Design measurement systems for business processes.
- Distinguish between the accuracy and precision of a measurement system.
- Distinguish between repeatability and reproducibility.
- Use graphs to assess the repeatability and reproducibility of a measurement system.
- Examine sources of variation in a measurement system.
- Use ANOVA to assess the repeatability and reproducibility of a measurement system.
- Assess the linearity and bias of a measurement system.
- Use attribute agreement analysis to assess a measurement process that records attribute responses.
Datatools
2902 Marina Plaza Al Marsa Street
PO Box 334155
Dubai – United Arab Emirates
Phone: +971(4) 2780994
Email: futureskills@datatools.me