Inflated probability of making type i error
How does the ANOVA technique avoid the problem of the inflated probability of making Type I error that would arise using the alternative method of comparing groups two at a time using the t-test for independent groups?
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A testing device is claimed to have high reliability insofar as: P[A/B]=P[Acomplement/Bcomplement] =p where A=device indicates component is faulty and B=component is faulty. Suppose 5% of components are faulty in a large batch of components and th
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