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E(X 2 ) = Var (X) = E(X 2 ) – [E(X)] 2 E(X) = The Mean and Variance of a Continuous Random Variable In order to calculate the mean or expected value of a continuous random variable, we must multiply the probability density function f(x) with x before we integrate within the limits. To calculate the variance, we need to find E(X 2 ) since

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Example The continuous random variable X is distributed with probability density function f(x) where f(x) = 6x(1-x) is 0 ≤ x ≤ 1 a) Calculate the mean and variance of X. b) Deduce the mean and variance of (i)Y = 10X – 3 (ii)Z = 2(3 – X) 5 c)Evaluate E(5X 2 – 3X + 1)

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a)Calculate the mean and variance of X. f(x) = 6x(1-x) = 6x – 6x 2 E(X) =

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Var (X) = E(X 2 ) – [E(X)] 2 E(X 2 ) = Var (X) =

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b)Deduce the mean and variance of (i) Y = 10X – 3 (ii) Z = 2(3 – X) 5 (i) E(Y) = E(10X – 3) =10E(X) – 3 =2 6 – 2E(X) = 5 (ii) E(Z) = E 6 – 2X = 5 5 6 – 2 x 1 = 5 5 2 10 x 1 – 3 = 2 1 Var(Z) = Var 6 – 2X = 5 5 2 2 x Var (X) = 5 1. 125 Var(Y) = Var(10X – 3) =10 2 Var(X) =5100 x 1 = 20 2 2 x 1 = 5 20

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c) Evaluate E(5X 2 – 3X + 1) E(5X 2 – 3X + 1) = 5E(X 2 ) – 3E(X) + 1 = 5 x 3 - 3 x 1 + 1 = 10 2 1 Exercise 1.4 Mathematics Statistics Unit S2 - WJEC Homework 11 Homework 12

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The moment generating function of random variable X is given by Moment generating function.

The moment generating function of random variable X is given by Moment generating function.

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