In: Statistics and Probability
Random variable X is a continuous uniform (0,4) random variable and Y=X^(1/2). (Note: Y is always the positive root.)
What is the P[X>=E[X]] ?
What is the E[Y] ?
what is the P[Y>=E[Y]]?
what is the PFD of fY(y)?
The PDF fX(x) of a Uniformly distributed random variable X, on (a,b) is fX(x) = 1/(b-a), for a<x<b
= 0, otherwise
The Cumulative Distribution Function, FX(x) = 0, for x≤a
= (x-a)/(b-a), for a<x<b
= 1, for x≥b
P(X≥a) = 1-P(X<a) = 1-FX(a) or P(X≥a) =
P[X≥E[X]] = 0.5
E[Y] = 4/3 = 1.3333
P[Y≥E[Y]] = 0.5556
The PDF of Y is fY(y) = y/2, 0<y<2
= 0, otherwise