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2. Suppose that {X 1 , X 2 ..... Xn} is an independent sample from the beta distribution with density function f(x; p) = p(]
2. Suppose that {X 1 , X 2 ..... Xn} is an independent sample from the beta distribution with density function f(x; p) = p(] xV'", 0 0. (c) Consider the following data set: 0.08, 0.10, 0.26, 0.35, 0.39, 0.24, 0.47, 0.11, 0.37, 0.09 Use the KolmogorovSrnirnov test with type I error a = 0.10 |to assess the t of the beta distribution with p = 3. Build a detailed table similar to the one on the slides (for the exponential distribution)
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