Twenty independent water samples are each tested by a likelihood-ratio test for the…

PHYSICS · Multi-part · Fermi University Physics · Mathematical Methods for Physics · Probability, statistics and stochastic methods · Probability, statistics and stochastic methods

Error, Chance and the Machine, Ch Tests, intervals and Bayesian inference

Problem

Twenty independent water samples are each tested by a likelihood-ratio test for the presence of a contaminant, comparing a null model with no contaminant against a model with one additional, unrestricted contamination-rate parameter. In one of the twenty samples the test statistic is −2ln⁡Λ=4.7-2\ln\Lambda = 4.7. A technician argues: "the χ12\chi^2_1 distribution gives p≈0.03p\approx0.03 for this sample, which is below 5 per cent, so this sample is significantly contaminated." ((a)) Compute the p-value of the single test from Wilks' theorem. ((b)) Compute the family-wise probability of at least one false alarm among all 20 tests, if each were run at a nominal 5 per cent significance level. ((c)) Compute the Bonferroni-corrected global p-value for the one significant-looking sample, and state whether the technician's claim is justified.

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