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Ted Hessing

T Distributions & T Tests

Posted by Ted Hessing

The T distribution and T tests are used to determine the likelihood of various conditions occurring for small sample sizes (<=30).

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

ANOVA Analysis of Variation

Posted by Ted Hessing

Analysis of Variance (ANOVA) is a parametric statistical technique that compares data sets. They evaluate the means of three or more factors.

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

Root Cause Analysis

Posted by Ted Hessing

Root cause analysis is a collection of tools and processes used to determine the most important causes for an issue we are trying to resolve.

This entry was posted in Analyze, Root Cause and Gap Analysis and tagged ASQ, Black Belt, Green Belt, Villanova, Yellow Belt. Bookmark the permalink.
Ted Hessing

Total Productive Maintenance (TPM)

Posted by Ted Hessing

TPM is an acronym for Total Productive Maintenance which is a system of coordinated group efforts for greater equipment effectiveness.

This entry was posted in Additional Lean Concepts and tagged ASQ, Black Belt, QuestionSet. Bookmark the permalink.
Ted Hessing

Theory of Constraints (TOC)

Posted by Ted Hessing

The Theory of Constraints states organizations can be measured by three criteria: throughput, operational expense, and inventory.

This entry was posted in Additional Lean Concepts, Improve, Lean and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova. Bookmark the permalink.
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