{domain:"www.qualitydigest.com",server:"169.47.211.87"} Skip to main content

User account menu
Main navigation
  • Topics
    • Customer Care
    • FDA Compliance
    • Healthcare
    • Innovation
    • Lean
    • Management
    • Metrology
    • Operations
    • Risk Management
    • Six Sigma
    • Standards
    • Statistics
    • Supply Chain
    • Sustainability
    • Training
  • Videos/Webinars
    • All videos
    • Product Demos
    • Webinars
  • Advertise
    • Advertise
    • Submit B2B Press Release
    • Write for us
  • Metrology Hub
  • Training
  • Subscribe
  • Log in
Mobile Menu
  • Home
  • Topics
    • 3D Metrology-CMSC
    • Customer Care
    • FDA Compliance
    • Healthcare
    • Innovation
    • Lean
    • Management
    • Metrology
    • Operations
    • Risk Management
    • Six Sigma
    • Standards
    • Statistics
    • Supply Chain
    • Sustainability
    • Training
  • Login / Subscribe
  • More...
    • All Features
    • All News
    • All Videos
    • Contact
    • Training

Data Snooping Part 4

How’s that classification scheme working out for you?

Donald J. Wheeler
Thu, 11/08/2018 - 12:03
  • Comment
  • RSS

Social Sharing block

  • Print
  • Add new comment
Body

In Part One and Part Two of this series we discovered some caveats of data snooping. In Part Three we discovered how listening to the voice of the process differs from the model-based approach and how it also provides a way to understand when our models do and do not work. Here we conclude the series with a case history of how big data often works in practice.

ADVERTISEMENT

Daniel Boorstin summarized the essence of distilling knowledge out of a database when he wrote: “Information is random and miscellaneous, but knowledge is orderly and cumulative.” As we seek to organize our miscellaneous data we have to be careful to make a distinction between signals and noise. The following is the story of one attempt to turn data into knowledge.

 …

Want to continue?
Log in or create a FREE account.
Enter your username or email address
Enter the password that accompanies your username.
By logging in you agree to receive communication from Quality Digest. Privacy Policy.
Create a FREE account
Forgot My Password

Comments

Submitted by Dave Arnold (not verified) on Tue, 11/13/2018 - 04:10

Data Snooping Part 4

Thank Dr. Wheeler for much needed paradigm shifts in the art of data snooping.

1. Medians are useful when exceptional variation exists.

2. Excessive variation can be predictable.

3. ANOM chart decision limits can be used on individual data eg.ANOX.

Dave Arnold

  • Reply

Add new comment

Image CAPTCHA
Enter the characters shown in the image.
Please login to comment.
      

© 2025 Quality Digest. Copyright on content held by Quality Digest or by individual authors. Contact Quality Digest for reprint information.
“Quality Digest" is a trademark owned by Quality Circle Institute Inc.

footer
  • Home
  • Print QD: 1995-2008
  • Print QD: 2008-2009
  • Videos
  • Privacy Policy
  • Write for us
footer second menu
  • Subscribe to Quality Digest
  • About Us
  • Contact Us