{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

An Elegantly Simple but Counterintuitive Approach to Analysis

Without common theory, there will be variation in how people perceive and act on variation

Davis Balestracci
Mon, 03/05/2012 - 12:39
  • Comment
  • RSS

Social Sharing block

  • Print
Body

For those of us practicing improvement in a medical culture, presenting this “funny new statistical way” of doing things to a physician audience triggers a predictable stated reason: “This isn’t in line with rigorous, double-blind clinical trial research.” And your response should be, “True! Nor could it be, nor should it be.”

ADVERTISEMENT

Clinical trial research statistical methods make assumptions and control variation in ways that can’t be replicated in the unstable environment of the real world, making them less suitable for improvement. This is true for any work environment as well.

Most basic academic statistics requirements are based in a context of “estimation” and teach methods appropriate for research. These, unfortunately, have limited applicability in everyday work, which is based on process-oriented thinking—a concept foreign to most academics—and whose need is “prediction.” This affects data collection, use of statistical tools, and validity of analyses.

 …

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

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