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  2. List of statistical tests - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tests

    [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. The vast majority of studies can be addressed by 30 of the 100 or so statistical tests in use .

  3. 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

  4. q-value (statistics) - Wikipedia

    en.wikipedia.org/wiki/Q-value_(statistics)

    The q-value can be interpreted as the false discovery rate (FDR): the proportion of false positives among all positive results. Given a set of test statistics and their associated q-values, rejecting the null hypothesis for all tests whose q-value is less than or equal to some threshold ensures that the expected value of the false discovery rate is .

  5. Two-sample hypothesis testing - Wikipedia

    en.wikipedia.org/wiki/Two-sample_hypothesis_testing

    In statistical hypothesis testing, a two-sample test is a test performed on the data of two random samples, each independently obtained from a different given population. The purpose of the test is to determine whether the difference between these two populations is statistically significant .

  6. Dixon's Q test - Wikipedia

    en.wikipedia.org/wiki/Dixon's_Q_test

    Where gap is the absolute difference between the outlier in question and the closest number to it. If Q > Q table, where Q table is a reference value corresponding to the sample size and confidence level, then reject the questionable point. Note that only one point may be rejected from a data set using a Q test.

  7. Test statistic - Wikipedia

    en.wikipedia.org/wiki/Test_statistic

    The above image shows a table with some of the most common test statistics and their corresponding statistical tests or models. Test statistic is a quantity derived from the sample for statistical hypothesis testing. [1] A hypothesis test is typically specified in terms of a test statistic, considered as a numerical summary of a data-set that ...

  8. Statistical hypothesis test - Wikipedia

    en.wikipedia.org/wiki/Statistical_hypothesis_test

    The above image shows a table with some of the most common test statistics and their corresponding tests or models. A statistical hypothesis test is a method of statistical inference used to decide whether the data sufficiently supports a particular hypothesis. A statistical hypothesis test typically involves a calculation of a test statistic.

  9. Item bank - Wikipedia

    en.wikipedia.org/wiki/Item_bank

    An item bank Or Question Bank is a term for a repository of test items that belong to a testing program, as well as all information pertaining to those items. In most applications of testing and assessment , the items are of multiple choice format, but any format can be used.