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  2. Dunnett's test - Wikipedia

    en.wikipedia.org/wiki/Dunnett's_test

    In statistics, Dunnett's test is a multiple comparison procedure [1] developed by Canadian statistician Charles Dunnett [2] to compare each of a number of treatments with a single control. [ 3 ] [ 4 ] Multiple comparisons to a control are also referred to as many-to-one comparisons.

  3. Multifunction tester - Wikipedia

    en.wikipedia.org/wiki/Multifunction_tester

    A multifunction tester or MFT is an electronic device used by electricians to test electrical circuits that use the "low" and "extra-low voltages" typically used by consumers in domestic, commercial and agricultural settings.

  4. Multiple comparisons problem - Wikipedia

    en.wikipedia.org/wiki/Multiple_comparisons_problem

    The following table defines the possible outcomes when testing multiple null hypotheses. Suppose we have a number m of null hypotheses, denoted by: H 1, H 2, ..., H m. Using a statistical test, we reject the null hypothesis if the test is declared significant. We do not reject the null hypothesis if the test is non-significant.

  5. Bonferroni correction - Wikipedia

    en.wikipedia.org/wiki/Bonferroni_correction

    With respect to FWER control, the Bonferroni correction can be conservative if there are a large number of tests and/or the test statistics are positively correlated. [9] Multiple-testing corrections, including the Bonferroni procedure, increase the probability of Type II errors when null hypotheses are false, i.e., they reduce statistical power.

  6. Newman–Keuls method - Wikipedia

    en.wikipedia.org/wiki/Newman–Keuls_method

    [5] [6] Unlike Tukey's range test, the Newman–Keuls method uses different critical values for different pairs of mean comparisons. Thus, the procedure is more likely to reveal significant differences between group means and to commit type I errors by incorrectly rejecting a null hypothesis when it is true.

  7. Repeated measures design - Wikipedia

    en.wikipedia.org/wiki/Repeated_measures_design

    Repeated measures design is a research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods. [1]

  8. False discovery rate - Wikipedia

    en.wikipedia.org/wiki/False_discovery_rate

    Benjamini (2010) said that the false discovery rate, [3] and the paper Benjamini and Hochberg (1995), had its origins in two papers concerned with multiple testing: The first paper is by Schweder and Spjotvoll (1982) who suggested plotting the ranked p -values and assessing the number of true null hypotheses ( m 0 {\displaystyle m_{0}} ) via an ...

  9. Complete Idiot's Guides - Wikipedia

    en.wikipedia.org/wiki/Complete_Idiot's_Guides

    series) is a product line of how-to and other reference books published by Dorling Kindersley (DK). The books in this series provide a basic understanding of a complex and popular topics. The term "idiot" is used as hyperbole, to reassure readers that the guides will be basic and comprehensible, even if the topics seem intimidating.