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  2. 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.

  3. 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.

  4. 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.

  5. Multimeter - Wikipedia

    en.wikipedia.org/wiki/Multimeter

    Testing often requires that the component under test be isolated from the circuit in which they are mounted, as otherwise stray or leakage current paths may distort measurements. In some cases, the voltage from the multimeter may turn active devices on, distorting a measurement, or in extreme cases even damage an element in the circuit being ...

  6. Continuity tester - Wikipedia

    en.wikipedia.org/wiki/Continuity_tester

    Entry-level cable testers are essentially continuity testers. A continuity tester is an item of electrical test equipment used to determine if an electrical path can be established between two points; [1] that is if an electrical circuit can be made. The circuit under test is completely de-energized prior to connecting the apparatus. [1]

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  8. 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.

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