Skip to content
Six Sigma Study Guide

Six Sigma Study Guide

Study notes and guides for Six Sigma certification tests
  • Log In
  • Register
  • About
  • Six Sigma Articles
  • Newsletter
  • Pass Your Six Sigma Black Belt
  • Pass Your Six Sigma Green Belt

Search

Do the Work, Pass Your Exam, or Your $ Back.

100% of candidates who complete my study guide report passing their exam! Full refund if you complete the study guide but fail your exam. This is your 100% Risk Free option!

Home  /  Six Sigma Study Guide Articles  /  Analyze

Category: Analyze

Analyze phase of DMAIC

Ted Hessing

Confidence Intervals

Posted by Ted Hessing

We use confidence intervals to determine the degree of certainty that the sample group accurately represents the entire population.

This entry was posted in Analyze, Confidence and Prediction Intervals and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova. Bookmark the permalink.
Ted Hessing

Paired T-Distribution, Paired T-Test, Paired Comparison Test, Paired Sample Test

Posted by Ted Hessing

A Paired T Distribution, Paired T-Test, Paired Comparison test, and Paired Sample Test compares the mean & standard deviation of two groups.

This entry was posted in Analyze, Performing Hypothesis Tests with Normal Data and tagged ASQ, Black Belt, Download, Green Belt, IASSC, QuestionSet. Bookmark the permalink.
Ted Hessing

One Sample T Hypothesis Test (Student’s T-Test)

Posted by Ted Hessing

One Sample T Hypothesis Test (Student’s T Test) are used to resolve hypothesis tests around comparing process means ( sample size to be <30)

This entry was posted in Analyze, Measure, Performing Hypothesis Tests with Normal Data and tagged ASQ, Black Belt, Download, Green Belt, IASSC, Villanova. Bookmark the permalink.
Ted Hessing

F-Test

Posted by Ted Hessing

The F-distribution, also known Fisher-Snedecor distribution, is used to test for equality of variances from two normal populations.

This entry was posted in Advanced Data Distributions, Analyze, Measure, Performing Hypothesis Tests with Normal Data and tagged ASQ, Black Belt, Download, Green Belt, IASSC, Villanova. Bookmark the permalink.
Ted Hessing

Chi-Square Goodness of Fit Test

Posted by Ted Hessing

A Chi-Square goodness of fit test tells how well a categorical (nominal or ordinal) sample distribution fit into a hypothetical distribution.

This entry was posted in Analyze, Performing Hypothesis Tests with Non Normal Data and tagged ASQ, Black Belt, Download, IASSC, Villanova. Bookmark the permalink.
Posts navigation
← Older posts
Newer posts →

Ready to Pass Your Six Sigma Exam?

Do the Work, Pass Your Exam, or Your $ Back.

100% of candidates who complete my study guide report passing their exam! Full refund if you complete the study guide but fail your exam. This is your 100% Risk Free option!

Search

Recent Newsletters

  • TSF #47: The Baseline Method: The Fastest Way to Find Out What You Actually Need to Study
  • TSF #46: ASQ, IASSC, or Villanova? How to Pick the Right Six Sigma Certification
  • TSF #55: Focused Exam Routines That Actually Save Time
  • TSF #48: Are You Overpreparing for Your Six Sigma Exam?
  • TSF #44: A Simple Lens for Using AI and Lean Six Sigma Together at the Leadership Level

Articles

  • Six Sigma Basics
  • Lean
  • Define
  • Measure
  • Analyze
  • Improve
  • Control
  • Certification FAQs
  • Newsletter
  • 6 Sigma in Real Life
Back to Top