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Home  /  Six Sigma Study Guide Articles  /  Analyze

Category: Analyze

Analyze phase of DMAIC

Ted Hessing

Two Sample T Hypothesis Tests

Posted by Ted Hessing

Two Sample T tests are used to resolve hypothesis tests around comparing process means. The underlying chart makes use of the T distribution.

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

One and Two Sample Z Proportion Hypothesis Tests

Posted by Ted Hessing

The One and Two Sample Proportion Hypothesis tests involve a population with two samples. These tests may assume a Binomial Distribution.

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

1 Sample Wilcoxon Non Parametric Hypothesis Test

Posted by Ted Hessing

1 sample Wilcoxon Non Parametric Hypothesis Test is a rank-based test and it compares the standard value with a hypothesized median.

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

1 Sample Sign Non Parametric Hypothesis Test

Posted by Ted Hessing

The 1 sample sign non parametric hypothesis test simply computes a significance test of a hypothesized median value for a single data set.

This entry was posted in Analyze, Performing Hypothesis Tests with Non Normal Data and tagged ASQ, Black Belt, IASSC, non-parametric. Bookmark the permalink.
Ted Hessing

Friedman Non Parametric Hypothesis Test

Posted by Ted Hessing

The Friedman non parametric hypothesis test is an alternative to the one-way ANOVA with repeated measures.

This entry was posted in Analyze, Performing Hypothesis Tests with Non Normal Data and tagged ASQ, Black Belt, IASSC, non-parametric, QuestionSet. Bookmark the permalink.
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