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  2. Dixon's Q test - Wikipedia

    en.wikipedia.org/wiki/Dixon's_Q_test

    However, at 95% confidence, Q = 0.455 < 0.466 = Q table 0.167 is not considered an outlier. McBane [ 1 ] notes: Dixon provided related tests intended to search for more than one outlier, but they are much less frequently used than the r 10 or Q version that is intended to eliminate a single outlier.

  3. List of tests - Wikipedia

    en.wikipedia.org/wiki/List_of_tests

    The specific problem is: "inconsistent use of lists and sortable tables". ... Ames test; Chi-squared test; Draize test; Dixon's Q test; F-test; Fisher's exact test;

  4. List of statistical tests - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tests

    Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1]The choice of the test depends on many properties of the research question.

  5. Q-statistic - Wikipedia

    en.wikipedia.org/wiki/Q-statistic

    The Ljung-Box test is a modified version of the Box-Pierce test which provides better small sample properties The Tukey-Kramer test outputs a q-statistic (lowercase), also called the studentized range statistic, which follows the studentized range distribution

  6. Talk:Dixon's Q test - Wikipedia

    en.wikipedia.org/wiki/Talk:Dixon's_Q_test

    4 Table? 2 comments. Toggle the table of contents. Talk: Dixon's Q test. Add languages. Page contents not supported in other languages. Article; Talk; English. Read;

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  9. Studentized range distribution - Wikipedia

    en.wikipedia.org/wiki/Studentized_range_distribution

    In order to obtain the distribution in terms of the "studentized" range q, we will change variable from R to s and q. Assuming the sample data is normally distributed, the standard deviation s will be χ distributed. By further integrating over s we can remove s as a parameter and obtain the re-scaled distribution in terms of q alone.