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Six Sigma Study Guide

Six Sigma Study Guide

Study notes and guides for Six Sigma certification tests
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Thousands have used this system to prepare. If it's not the right fit in the first 14 days, you get your money back. And if you complete every lesson for your certification body's exam, score 90% or better on each of its quizzes, score 90% or better on at least one mock exam on your first try, and still don't pass your exam, send me your score report within 30 days of the exam and I'll refund you: the full price on an annual plan, or your last payment on a monthly plan.

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Home  /  Six Sigma Study Guide Articles  /  Author: Ted Hessing

Author: Ted Hessing

I originally created SixSigmaStudyGuide.com to help me prepare for my own Black belt exams. Overtime I've grown the site to help tens of thousands of Six Sigma belt candidates prepare for their Green Belt & Black Belt exams. Go here to learn how to pass your Six Sigma exam the 1st time through!
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.
Ted Hessing

Financial Measures in Six Sigma

Posted by Ted Hessing

Learn how to analyze your Six Sigma projects using financial measures. This will give you insight into the wider effects of your efforts.

This entry was posted in Define, Project Selection and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova, Yellow Belt. Bookmark the permalink.
Ted Hessing

Normal Probability Plot

Posted by Ted Hessing

The normal probability plot is a graphical technique for normality testing. Used to assess data set follows normal distribution.

This entry was posted in Additional Graphical Analysis Tools, Measure and tagged ASQ, Black Belt, Green Belt, IASSC, Villanova. Bookmark the permalink.
Ted Hessing

Poisson Distribution

Posted by Ted Hessing

Poisson distribution is a discrete probability distribution; it describes the mean number of events occurring in a fixed time interval.

This entry was posted in Advanced Data Distributions, Measure and tagged ASQ, Black Belt, Green Belt, QuestionSet, Villanova. Bookmark the permalink.
Ted Hessing

Chi Square Distribution & Hypothesis Test

Posted by Ted Hessing

The chi square (χ2) distribution is the best method to test a population variance against a known or assumed value of the population variance

This entry was posted in Advanced Data Distributions, Analyze, Measure, Performing Hypothesis Tests with Non Normal Data and tagged ASQ, Black Belt, Breakup, Download, Green Belt, IASSC, QuestionSet, Villanova. Bookmark the permalink.
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Two Guarantees on Every Study Guide

Thousands have used this system to prepare. If it's not the right fit in the first 14 days, you get your money back. And if you complete every lesson for your certification body's exam, score 90% or better on each of its quizzes, score 90% or better on at least one mock exam on your first try, and still don't pass your exam, send me your score report within 30 days of the exam and I'll refund you: the full price on an annual plan, or your last payment on a monthly plan.

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