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Multifunction testers are able to perform continuity tests (or low ohms resistance tests) and insulation resistance tests (or high ohms resistance tests) and they may also be able to perform earth fault loop impedance tests, prospective short-circuit current tests, earth electrode tests and RCD tests.
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.
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.
Any meter will load the circuit under test to some extent. For example, a multimeter using a moving coil movement with full-scale deflection current of 50 microamps (μA), the highest sensitivity commonly available, must draw at least 50 μA from the circuit under test for the meter to reach the top end of its scale. This may load a high ...
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Notable For Dummies books include: DOS For Dummies, the first, published in 1991, whose first printing was just 7,500 copies [4] [5] Windows for Dummies, asserted to be the best-selling computer book of all time, with more than 15 million sold [4] L'Histoire de France Pour Les Nuls, the top-selling non-English For Dummies title, with more than ...
The addition of a high-speed switching system to a test system's configuration allows for faster, more cost-effective testing of multiple devices, and is designed to reduce both test errors and costs. Designing a test system's switching configuration requires an understanding of the signals to be switched and the tests to be performed, as well ...
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.