In this special episode of Quality during Design Redux, we're pulling episodes from our archive about test results analysis. In our Season 1 - Episode 93  titled "The Fundamental Thing to Know from Statistics for Design Engineering", we talked about hypothesis testing: how it is used for lots of data analysis techniques. The next 4 episodes of this QDD Redux are taking the next steps._________________________________________When we’re looking at results (like measures of a characteristic), we need to take care not to get too hung-up on what the statistics is trying to tell us. Yes, statistical tools are a good way for us to make decisions and the results can act as proof for us. But, there’s a practical, engineering side to results, too. We need to evaluate the statistical significance along with the practical significance.We review an example and how to document it.Visit the podcast blog for a transcript and resources.Ready to apply this to your project?→ Schedule a free discovery call: Dianna's calendarWant insights like this?→ Subscribe to my newsletter: qualityduringdesign.substack.comLearn the full framework:→ Get the Book: Pierce the Design Fog ABOUT DIANNADianna Deeney is a quality advocate for product development with over 25 years of experience in manufacturing. She is president of Deeney Enterprises, LLC, which helps organizations and people improve engineering design.

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