In order to test customer satisfaction with a given service, we conduct a survey and define a random variable Yi as follows:
Yi = 1 if customer i is satisfied
Yi = 0 if the customer i is not satisfied
Given the identical and independent Bernoulli distributed samples y1, …, yn with
P[Yi = 0] = θ
P[Yi = 1] = 1 – θ
we want to test the hypotheses H0: θ = θ0 = 0:52 et H1 = θ = θ1 = 0:48
• Construct the likelihood of the observations y1, …, yn and explain the rejection region of H0 (i.e., error of type 1) from the test of Neyman-Pearson (for the numerical application, we will choose the risk of the first kind α = 0.1).
• Determine P[H0 rejected|H1 true]
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