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Search Results for: normal distribution

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

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.
Ted Hessing

Kruskal–Wallis Non Parametric Hypothesis Test

Posted by Ted Hessing

The Kruskal–Wallis Non-Parametric Hypothesis Test is used when a variable does not meet the normality assumptions of one-way ANOVA

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