A continuous random variable X has a pdf of the form fx 2x9
A continuous random variable X has a pdf of the form f(x) = 2x/9 for 0 < x < 3, and zero otherwise.
a) Find the CDF of X.
b) find [x<= 2]
c) Find P[-1<X<1.5].
d) find a number m such that P[X<= m] = P[X>=m] (median)
e) find E(X)
Solution
a)
F(x) = Integral [2x/9 dx] = x^2 / 9 + C
As F(3) = 1, by properties of cdf\'s,
F(3) = 3^2/9 + C = 1 --> C = 0.
Thus,
F(x) = x^2/9, 0<x<3
0, otherwise [answer]
************
b)
P(x<=2) = x^2/9 | (0,2) = 2^2 / 9 - 0^2/9 = 4/9 [answer]
**************
c)
P(-1<x<1.5) = P(0<x<1.5) = x^2/9|(0,1.5) = (1.5^2)/9 - 0^2/9 = 0.25 [answer]
***************
d)
If m is the median, then its left tailed area is 0.5. Thus,
F(m) = m^2/9 = 0.5
--> m = 2.121320344 [answer]
*****************
e)
E(x) = Integral [x f(x) dx]|(0,3) = Integral [2x^2 / 9 dx]|(0,3)
= 2x^3/27|(0,3)
= 2(3^3)/27 - 2(0^3)/27
E(x) = 2 [answer]
![A continuous random variable X has a pdf of the form f(x) = 2x/9 for 0 < x < 3, and zero otherwise. a) Find the CDF of X. b) find [x<= 2] c) Find P[-1& A continuous random variable X has a pdf of the form f(x) = 2x/9 for 0 < x < 3, and zero otherwise. a) Find the CDF of X. b) find [x<= 2] c) Find P[-1&](/WebImages/12/a-continuous-random-variable-x-has-a-pdf-of-the-form-fx-2x9-1013550-1761523443-0.webp)