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.
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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.

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Support the showAbout me Dianna Deeney founded Quality during Design through her company Deeney Enterprises, LLC. Her mission is to bridge product designers to the world's quality initiatives and quality-minded people. She teaches product development engineers how to use quality and reliability methods early in design for risk, use, and technical aspects of a product. Engineers that use quality early and iteratively improve the design and the design process, and it helps them to be recognized as star performers. Her vision is a world of products that are easy to use, dependable, and safe – possible by strategically using Quality during Design for products others love, for less. See more about her products and services at www.QualityDuringDesign.com.