# Six Sigma Black Belt: Designing, Conducting, and Analyzing Experiments

Everyone
• 8 videos | 1h 51m 17s
Rating 4.4 of 44 users (44)
Six Sigma teams design and conduct experiments to investigate the relationships between input variables and response variables. By controlling and changing the input variables and observing the effects on the response variables, a Six Sigma team gains a deep understanding of these relationships. After determining what and how much needs to be changed to meet the desired improvement, teams generate solution ideas based on the best combination of input variables' settings to optimize the response, and then the ideas are tested, implemented, and validated. Later in the Control stage, efforts are made to keep the improved processes, products, or services under statistical control and to retain the gains. This course explores full and fractional factorial designs and the DOE process. In addition, it teaches how to select, test, and validate solutions using a variety of analysis, screening, and testing tools commonly used in Six Sigma. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation.

## WHAT YOU WILL LEARN

• Discover the key concepts covered in this course
Determine whether a chosen design is a full factorial design that can meet resolution requirements, in a given scenario
Calculate the number of runs in a given experiment, and recognize the characteristics of an experiment, represented by a given run table
Calculate an estimate of a main effect in a full factorial experiment, and recognize which terms should be included in the model, based on results from a full factorial experiment
• Recognize circumstances suitable for a fractional factorial design, and recognize the design implications of a proposed fractional factorial experiment
Interpret an interaction plot
Identify conditions that recommend a randomized block design, and identify the trial pattern that will fully randomize a given block design
Identify the characteristics of latin square designs, and recognize which experimental factors are significant in the results of a latin square design

## IN THIS COURSE

• After completing this video, you will be able to discover the key concepts covered in this course.
• After completing this video, you will be able to determine whether a chosen design is a full factorial design that can meet resolution requirements, in a given scenario.
• 3.  Designing a Full Factorial Experiment
After completing this video, you will be able to calculate the number of runs in a given experiment and recognize the characteristics of an experiment, represented by a given run table.
• 4.  Analyzing the Results of Factorial Experiments
After completing this video, you will be able to calculate an estimate of a main effect in a full factorial experiment, and recognize which terms should be included in the model, based on results from a full factorial experiment.
• 5.  Designing Fractional Factorial Experiments
After completing this video, you will be able to recognize circumstances suitable for a fractional factorial design and recognize the design implications of a proposed fractional factorial experiment.
• 6.  Analyzing Results & Interpreting Interactions
After completing this video, you will be able to interpret an interaction plot.
• 7.  Designing Randomized Block Experiments
After completing this video, you will be able to identify conditions that recommend a randomized block design and identify the trial pattern that will fully randomize a given block design.
• 8.  Designing Latin Square Experiments
After completing this video, you will be able to identify the characteristics of Latin square designs and recognize which experimental factors are significant in the results of a Latin square design.

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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