What is the bayesian posterior probability

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Suppose that Y has a binomial distribution with parameters n=6 and p is unknown. A bayesian thinks that P(p=.7)=.4 and P(p=.8)=.6. She later observes that Y=4. Now, what is the Bayesian posterior probability that p=.3 given that she observed Y=4?

Reference no: EM132422236

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