Assume now that the prior distribution of is a continuous distribution with the probability density function fe (0) = 5, 0, 0.6 ≤0 ≤ 0.8, otherwise. Also assume now that the sample size is n = = 1 and the observed value is x₁ = = 0.7. Find the posterior distribution of 0. Compute the Bayes estimate of under the squared loss and absolute loss functions and construct the two-sided 90% poste- rior probability interval for 0.

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