What do Goldilocks and statistical analysis sample size have in common? A razor-sharp focus on “just right.” A sample size that is too big or too small leads to inaccurate data and wasted resources (although hopefully not three bears).
Part 2 of this series presents a case study of the redesign of a bracket’s fatigue model. The case study shows how UQ techniques can be used to perform robust risk estimation, identify key drivers of manufacturing variability and gather more information for critical decisions.
Learn to combine Six Sigma with UQ – advanced statistical techniques that, when applied to simulations of complex systems, generate actionable results to reduce process variability.