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  2. Matched pair testing - Wikipedia

    en.wikipedia.org/wiki/Matched_pair_testing

    For example, control cells comprise non-minority or male mystery shoppers while test cells comprise African American or Hispanic or female mystery shoppers. The mystery shoppers in each pair (e.g., African American and White) conduct the tests separately, but each is provided with profiles that are matched or very similar.

  3. McNemar's test - Wikipedia

    en.wikipedia.org/wiki/McNemar's_test

    McNemar's test is a statistical test used on paired nominal data.It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal (that is, whether there is "marginal homogeneity").

  4. Wilcoxon signed-rank test - Wikipedia

    en.wikipedia.org/wiki/Wilcoxon_signed-rank_test

    For two matched samples, it is a paired difference test like the paired Student's t-test (also known as the "t-test for matched pairs" or "t-test for dependent samples"). The Wilcoxon test is a good alternative to the t-test when the normal distribution of the differences between paired individuals cannot be assumed. Instead, it assumes a ...

  5. Student's t-test - Wikipedia

    en.wikipedia.org/wiki/Student's_t-test

    The pairs are e.g. either one person's pre-test and post-test scores or between-pairs of persons matched into meaningful groups (for instance, drawn from the same family or age group: see table). The constant μ 0 is zero if we want to test whether the average of the difference is significantly different.

  6. Paired difference test - Wikipedia

    en.wikipedia.org/wiki/Paired_difference_test

    A paired difference test is designed for situations where there is dependence between pairs of measurements (in which case a test designed for comparing two independent samples would not be appropriate). That applies in a within-subjects study design, i.e., in a study where the same set of subjects undergo both of the conditions being compared.

  7. Matching (statistics) - Wikipedia

    en.wikipedia.org/wiki/Matching_(statistics)

    In particular cases, simpler tests like paired difference test, McNemar test and Cochran–Mantel–Haenszel test are available. When the outcome of interest is continuous, estimation of the average treatment effect is performed. Matching can also be used to "pre-process" a sample before analysis via another technique, such as regression ...

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  9. Sign test - Wikipedia

    en.wikipedia.org/wiki/Sign_test

    The sign test is a statistical test for consistent differences between pairs of observations, such as the weight of subjects before and after treatment. Given pairs of observations (such as weight pre- and post-treatment) for each subject, the sign test determines if one member of the pair (such as pre-treatment) tends to be greater than (or less than) the other member of the pair (such as ...