QDD Redux Ep. 1: How Many Do We Need to Test?
Episode description
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.
DISCOVER YOUR PRODUCT DEVELOPMENT FOCUS: UNLOCK YOUR IMPACT
Take this quick quiz to cut through the 'design fog' and discover where your greatest potential lies
BI-WEEKLY EPISODES
Subscribe to this show on your favorite provider and Give us a Rating & Review to help others find us!
SELF-PACED COURSE FMEA in Practice: from Plan to Risk-Based Decision Making is enrolling students now. Join over 300 students: Click Here.
MONTHLY DIGEST
Subscribe to the free monthly e-newsletter: newsletter.deeneyenterprises.com
Get the short version on Linked-In: Subscribe here.
About me
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 optimize their engineering processes and team perform...