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Chapter 3 Continuous Random Variables

Chapter 3 Continuous Random Variables

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(v) Poisson 3. Continuous (a) P(Y = 3) = (i) 0 (ii) 0:25 (iii) 0:50 (iv) 0:75 (b) P(Y 3) = F(3) = R 3 2 x 6 dx= x 2 12 i x=3 x=2 = 3 12 2 12 = 5 12 requires (i) summation (ii) integration and is a value of a (i) probability density function (ii) cumulative distribution func-tion which is a (i) stepwise (ii) smooth increasing function (c) E(Y ...

  Distribution, Cumulative, Poisson, Cumulative distribution

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