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Inferential Statisticshard
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Consider a researcher testing H0:θ=0H_0: \theta = 0H0​:θ=0 against H1:θ>0H_1: \theta > 0H1​:θ>0. If the researcher calculates the p-value using a test statistic TTT and observes p=0.04p = 0.04p=0.04, which of the following statements about the posterior probability P(H0∣Data)P(H_0|Data)P(H0​∣Data) is most accurate under the Bayesian paradigm?