Suppose it is known how to simulate a random variable X with the cumulative distribtuion function F defined by F(x) = P(X ≤ x) for all x = (-∞, ∞). Based on this fact, suggest how to simulate a random variable Y whose cumulative distribution function G is given by G(x) = 1−(1 − F(x))", where n ≥ 2 is an integer. Explain why your method is correct for this purpose.

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Suppose it is known how to simulate a random variable X with the cumulative
distribtuion function F defined by F(x) = P(X < x) for all x E (-0, 0).
Based on this fact, suggest how to simulate a random variable Y whose
cumulative distribution function G is given by G(x) = 1– (1– F(x))", where
n > 2 is an integer. Explain why your method is correct for this purpose.
Transcribed Image Text:Suppose it is known how to simulate a random variable X with the cumulative distribtuion function F defined by F(x) = P(X < x) for all x E (-0, 0). Based on this fact, suggest how to simulate a random variable Y whose cumulative distribution function G is given by G(x) = 1– (1– F(x))", where n > 2 is an integer. Explain why your method is correct for this purpose.
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