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Paper 2 · November 2019 · Continuous Random Variables

A continuous random variable XX has probability density function f(x)=x12f(x) = \dfrac{x}{12} for 0≤x<30 \le x < 3 and f(x)=−120(x−8)f(x) = -\dfrac{1}{20}(x-8) for 3≤x≤83 \le x \le 8 (zero otherwise). What is E(X)E(X), correct to 2 decimal places?

A3.53
B3.60
C3.67
D3.75

Explanation

E(X)=∫03x⋅x12dx+∫38x⋅(−120)(x−8)dx=[x336]03+(−120)[x33−4x2]38=0.75+(−120)(−1753)=0.75+2.9167≈3.67E(X) = \int_0^3 x\cdot\frac{x}{12}dx + \int_3^8 x\cdot\left(-\frac{1}{20}\right)(x-8)dx = \left[\frac{x^3}{36}\right]_0^3 + \left(-\frac{1}{20}\right)\left[\frac{x^3}{3}-4x^2\right]_3^8 = 0.75 + \left(-\frac{1}{20}\right)\left(-\frac{175}{3}\right) = 0.75 + 2.9167 \approx 3.67.

Derived from ZIMSEC Statistics Paper 2, November 2019, Q1

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