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Search Results for: normal distribution

Ted Hessing

Data Analysis

Posted by Ted Hessing

Data analysis is a fundamental requirement in the Six Sigma methodology for identifying process inefficiencies and reducing defects.

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

Basic Six Sigma Statistics

Posted by Ted Hessing

Basic six sigma statistics is the foundation for six sigma projects. Numerically describe the data that characterizes process Xs & Ys.

This entry was posted in Measure, Six Sigma Statistics and tagged ASQ, Black Belt, Green Belt, IASSC, Villanova, Yellow Belt. Bookmark the permalink.
Ted Hessing

Process Performance Pp and Ppk

Posted by Ted Hessing

Process Performance (Pp, Ppk) helps determine if your new process is acceptable by measuring ratios of distribution to spread and centering.

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

Process Capability (Cp & Cpk)

Posted by Ted Hessing

Cp and Cpk are considered short-term potential process capability measures for a process. We want to describe this quality in terms of sigma.

This entry was posted in Measure, Process Capability and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova, Yellow Belt. Bookmark the permalink.
Ted Hessing

Non-Parametric Hypothesis Tests and Data Analysis

Posted by Ted Hessing

You use non-parametric hypothesis tests when you don’t know, can’t assume, and can’t identify what kind of distribution your have.

This entry was posted in Analyze and tagged ASQ, Black Belt, IASSC, non-parametric, QuestionSet. Bookmark the permalink.
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