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    Home  /  Six Sigma Study Guide Articles  /  Author: Ted Hessing

    Author: Ramana PV

    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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