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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

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

Kinds of Statistics

Posted by Ted Hessing

Not all statistics are the same. It’s useful to discern between the various types of statistics when doing analysis.

This entry was posted in Descriptive Statistics, Inferential Statistics, Measure, Six Sigma Statistics and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova, Yellow Belt. 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

Exponential Distribution

Posted by Ted Hessing

The exponential distribution is a widely used continuous distribution. It estimates the lapse of time between the independent events.

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

Sampling Without Replacement (Deprecated)

Posted by Ted Hessing

Sampling Without Replacement is a probability question that is an example of using the Hypergeometric Distribution.

This entry was posted in Measure and tagged Black Belt, IASSC. Bookmark the permalink.
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