Question #43537

Let X be given by its "distribution" function F(x), such that:

F(x) = 0 if x ≤ 0
F(x) = (x^2)/4 if 0<x≤2
F(x) =1 if x>2

Find E(x), var (x) and std deviation (x).
1

Expert's answer

2014-06-23T02:38:46-0400

Answer on Question #43537, Math, Statistics and Probability

Let XX be given by its "distribution" function F(X)F(X) such that:


F(x)={0,if x0x24,if 0<x21,if x>2F(x) = \begin{cases} 0, & \text{if } x \leq 0 \\ \frac{x^2}{4}, & \text{if } 0 < x \leq 2 \\ 1, & \text{if } x > 2 \end{cases}


Find E(X)E(X), var(X)\operatorname{var}(X) and std\operatorname{std} deviation (X)(X).

Solution.

By definition,


E(X)=xf(x)dxE(X) = \int_{-\infty}^{\infty} x f(x) \, dx


where f(x)=F(X)f(x) = F'(X). So,


f(X)={0,if x(0,2]x2,if x(0,2]f(X) = \begin{cases} 0, & \text{if } x \notin (0, 2] \\ \frac{x}{2}, & \text{if } x \in (0, 2] \end{cases}


Then,


E(X)=0x0dx+02x22dx+2x0dx=0+2360+0=43E(X) = \int_{-\infty}^{0} x \cdot 0 \, dx + \int_{0}^{2} \frac{x^2}{2} \, dx + \int_{2}^{\infty} x \cdot 0 \, dx = 0 + \frac{2^3}{6} - 0 + 0 = \frac{4}{3}


By definition,


var(X)=x2f(x)dx(E(X))2=0x20dx+02x32dx+2x20dx169==0+248+0169=2169=29\begin{aligned} \operatorname{var}(X) &= \int_{-\infty}^{\infty} x^2 f(x) \, dx - \left(E(X)\right)^2 = \int_{-\infty}^{0} x^2 \cdot 0 \, dx + \int_{0}^{2} \frac{x^3}{2} \, dx + \int_{2}^{\infty} x^2 \cdot 0 \, dx - \frac{16}{9} = \\ &= 0 + \frac{2^4}{8} + 0 - \frac{16}{9} = 2 - \frac{16}{9} = \frac{2}{9} \end{aligned}


By definition,


std deviation(X)=var(X)\operatorname{std} \text{ deviation}(X) = \sqrt{\operatorname{var}(X)}


So,


std deviation(X)=23\operatorname{std} \text{ deviation}(X) = \frac{\sqrt{2}}{3}


Answer: E(X)=4/3E(X) = 4/3, var(X)=2/9\operatorname{var}(X) = 2/9, std deviation(X)=2/3\operatorname{std} \text{ deviation}(X) = \sqrt{2}/3.

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