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.

Are your teams struggling with poor communication and rushed timelines? Is your product vision clouded by a lack of clarity? It's time to find your way through the confusion and build products that truly resonate with users.

Introducing "Pierce the Design Fog" by Dianna Deeney, the essential guide to turning abstract ideas into high-quality products. This book offers a proven playbook with practical frameworks and tools to help you foster team synergy, lead with vision, and ma

JOIN ME ON SUBSTACK Subscribe today. Get themed Q&As, live chats, in-depth analysis, comprehensive guides, and access to my Strategy Vaults. Founding Member spots are open now.