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Description

When we are taught reliability data analysis in very 'sanitized' ways. We get information or data from textbooks that is created to prove teaching points. But real-world data can be messy, mixed up, and challenging to sort in a way where we can get what we need from the data. So how do we practice on real-world data. The post SOR 1001 Practice Data Sets appeared first on Accendo Reliability.

Summary

When we are taught reliability data analysis in very 'sanitized' ways. We get information or data from textbooks that is created to prove teaching points. But real-world data can be messy, mixed up, and challenging to sort in a way where we can get what we need from the data. So how do we practice on real-world data.

Subtitle
Duration
0:00
Publishing date
2024-09-16 10:14
Link
https://accendoreliability.com/podcast/sor/sor-1001-practice-data-sets/
Contributors
  Christopher Jackson
author  
Enclosures
http://episodes.reliability.fm/sor/sor-1001-practice-data-sets.mp3
audio/mpeg

Shownotes

Practice Data Sets

Abstract

Chris and Fred discuss the ability to get ‘data sets’ to practice reliability analysis on! … sounds like a party …

Key Points

Join Chris and Fred respond to a listener who wants ‘practice data’ to hone their data analysis skills! Awesome … but where is it?

Topics include:

  • Textbooks often contain ‘sanitized’ data. That is, data that is created or at least heavily modified from the real world to highlight a certain statistical feature. But this isn’t the same ‘messy’ real-world data characteristics …
  • Companies aren’t interested in sharing their ‘real-world’ data. As you can imagine. So reliability consultants can’t simply share the data they have analyzed for their clients.
  • There are some sources. Check out https://wqmeeker.stat.iastate.edu/ .
  • Maybe Accendo needs to do something. Perhaps we need to create these data sets … based on what we create! … or what listeners send us! We have a huge number of people in our community that could help.
  • But here’s a suggestion. Before you analyze your data set, think about what you would expect to see. For example, if the reason you are analyzing data is because there are concerns about manufacturing quality control, then you would expect to see infant mortality. Do you then see characteristics of infant mortality in your data analysis? If yes … then that is very powerful. This means the data aligns with your independent, pre-analysis assessment.

Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.

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Show Notes

The post SOR 1001 Practice Data Sets appeared first on Accendo Reliability.