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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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About me
Dianna Deeney is a quality advocate for product development with over 25 years of experience in manufacturing. Through Deeney Enterprises, LLC and her signature program, Quality During Design, she empowers product design managers and engineers to create exceptional products.

Dianna helps teams integrate quality principles into their design process, fostering early collaboration that leads to fewer design rework loops and reduced overall costs. Her passion for education bridges the gap between design and quality through the Quality During Design platform, offering:

• The Quality During Design Podcast: Engaging discussions on topics like FMEA, design for manu...