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.
_________________________________________
In this episode we review sampling for design tests. We talk through a generic thought process for choosing a statistically relevant sample size and propose some basics that we can all learn about to better understand sampling.

Our goal is for us to be able to better talk through a sampling scenario with our quality and reliability engineering friends, and to better prepare for the information that they're going to want to know when asked, "How many do we need to test?"

Visit the podcast blog for a transcript and more.

Ready to apply this to your project?
→ Schedule a free discovery call: Dianna's calendar

Want insights like this?
→ Subscribe to my newsletter: qualityduringdesign.substack.com

Learn the full framework:
→ Get the Book: Pierce the Design Fog

ABOUT DIANNA
Dianna 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.