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A store owner models customer arrivals as Poisson distributions with unknown rate theta per hour. She assigned theta a gamma prior distribution with shape parameter

A store owner models customer arrivals as Poisson distributions with unknown rate theta per hour. She assigned theta a gamma prior distribution with shape parameter 3 and rate 2. After 1 hour there were a total of x=3 customers A. Find the posterior distribution for theta based on the single data point x=3 B. Using this posterior distribution how many customers do you expect to arrive in the next hour

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