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Home  /  Six Sigma Study Guide Articles  /  Posts Tagged: ASQ

Tag: ASQ

Ramana PV

One and Two Sample Z Proportion Hypothesis Tests

Posted by Ramana PV

The one and two sample proportion hypothesis tests involving one factor with one and two samples, these tests may assumes a Binomial Distribution.

This entry was posted in Analyze and tagged ASQ, Black Belt, IASSC. Bookmark the permalink.
Ramana PV

1 Sample Wilcoxon Non Parametric Hypothesis Test

Posted by Ramana PV

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

This entry was posted in Analyze and tagged ASQ, Black Belt, IASSC. Bookmark the permalink.
Ramana PV

1 Sample Sign Non Parametric Hypothesis Test

Posted by Ramana PV

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 and tagged ASQ, Black Belt, IASSC, non-parametric. Bookmark the permalink.
Ramana PV

Friedman Non Parametric Hypothesis Test

Posted by Ramana PV

The Friedman non parametric hypothesis test is an alternative to the one-way ANOVA with repeated measures and it was developed by Milton Friedman.

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

Mood’s Median Non Parametric Hypothesis Test

Posted by Ramana PV

Mood’s median test is a nonparametric test to compare the medians of two independent samples. It is also used to estimate whether the median of any two independent samples are equal

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

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