{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

Control Charts and Capability Analysis

XL Image
  • Read more about Control Charts and Capability Analysis
  • Add new comment

Current business conversation often focuses on data and big data. Data are the raw information from which statistics are created and provide an interpretation and summary of data.

How to Convert ANSI/ASQ Z1.4 Sampling Plans Into Narrow-Limit Gauging Plans

  • Read more about How to Convert ANSI/ASQ Z1.4 Sampling Plans Into Narrow-Limit Gauging Plans
  • Add new comment

Anthony Chirico1 describes how narrow-limit gauging (NLG, aka compressed limit plans) can reduce enormously the required sample size, and therefore the inspection cost, of a traditional attribute sampling plan.

What Does MTBF Mean?

  • Read more about What Does MTBF Mean?
  • 3 comments
  • Add new comment

Within maintenance management, the term MTBF (mean time between failures) is the most important key performance indicator after physical availability.

Process Capability: What It Is and How to Ensure It Helps, Part 5

  • Read more about Process Capability: What It Is and How to Ensure It Helps, Part 5
  • 1 comment
  • Add new comment

‘Process Capability: What It Is and How It Helps,” parts one,

Fighting Crime With Statistics

Large Image Caption

Photo by Andrew Lichtenstein/Corbis via Getty Images

  • Read more about Fighting Crime With Statistics
  • Add new comment

If Fyodor Dostoyevsky had been a mathematician, he might have written a book called Crime and Statistics. However, since “statistics” doesn’t have quite the same ring as “punishment,” it wouldn’t have sold as well.

Metrics: The Good, the Bad, and the Ugly

  • Read more about Metrics: The Good, the Bad, and the Ugly
  • 1 comment
  • Add new comment

This is part three of a three-part series.

Model-Based Definition: A Seven-Point Summary

  • Read more about Model-Based Definition: A Seven-Point Summary
  • Add new comment

Annalise Suzuki, director of technology and engagement at software provider Elysium Inc., spoke to Quality Digest about the importance of model-based definitions (MBD) for data quality, validation, and engineering

Reverse-Engineer Your Experiments

Large Image Caption
In designed experiments, not only must you choose appropriate variables, you must also consider sample size.
  • Read more about Reverse-Engineer Your Experiments
  • Add new comment

Everybody wants to design and conduct a great experiment! To find enlightenment by the discovery of the big red X and perhaps a few smaller pink x’s along the way.

Why Did Shewhart Place a Premium on Time Order Sequence?

  • Read more about Why Did Shewhart Place a Premium on Time Order Sequence?
  • 3 comments
  • Add new comment

Walter Shewhart, father of statistical process control and creator of the control chart, put a premium on the time order sequence of data.

Beyond the Hype: Machine Learning for Manufacturing Performance

XL Image
  • Read more about Beyond the Hype: Machine Learning for Manufacturing Performance
  • Add new comment

Machine learning as a tool in your analytical toolkit can help accelerate the discovery of insights in data that can create a more efficient manufacturing process and drive innovation.

Pagination

  • Previous page ‹‹
  • Page 13
  • Next page ››
Subscribe to Statistics Article
      

© 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